16,410 Senior Data Scientist jobs in India
Data Scientist
Hyderabad, Andhra Pradesh
S&P Global
Posted 2 days ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
08
**Position Summary**
The candidate will work along with other data scientists, data engineers and industry analysts to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop/deploy new products
+ Work as an Individual Contributor and should be able to work well with the team
+ Participate in complex analytical projects and apply data science/engineering techniques to support new or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
**Business competencies**
Essential
+ 2-3 years of industrial/research experience in a Data Science/Engineering Team
+ 1-2 years of experience in working in time series forecasting
+ 1+ years of experience in working with AWS or Databricks
+ 1+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical packages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Bangalore, Karnataka, India
**Grade Level (for internal use):**
08
**Position Summary**
The candidate will work along with other data scientists, data engineers and industry analysts to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop/deploy new products
+ Work as an Individual Contributor and should be able to work well with the team
+ Participate in complex analytical projects and apply data science/engineering techniques to support new or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
**Business competencies**
Essential
+ 2-3 years of industrial/research experience in a Data Science/Engineering Team
+ 1-2 years of experience in working in time series forecasting
+ 1+ years of experience in working with AWS or Databricks
+ 1+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical packages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Bangalore, Karnataka, India
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist
Gurgaon, Haryana
S&P Global
Posted 2 days ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
08
**Position Summary**
The candidate will work along with other data scientists, data engineers and industry analysts to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop/deploy new products
+ Work as an Individual Contributor and should be able to work well with the team
+ Participate in complex analytical projects and apply data science/engineering techniques to support new or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
**Business competencies**
Essential
+ 2-3 years of industrial/research experience in a Data Science/Engineering Team
+ 1-2 years of experience in working in time series forecasting
+ 1+ years of experience in working with AWS or Databricks
+ 1+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical packages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Bangalore, Karnataka, India
**Grade Level (for internal use):**
08
**Position Summary**
The candidate will work along with other data scientists, data engineers and industry analysts to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop/deploy new products
+ Work as an Individual Contributor and should be able to work well with the team
+ Participate in complex analytical projects and apply data science/engineering techniques to support new or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
**Business competencies**
Essential
+ 2-3 years of industrial/research experience in a Data Science/Engineering Team
+ 1-2 years of experience in working in time series forecasting
+ 1+ years of experience in working with AWS or Databricks
+ 1+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical packages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Bangalore, Karnataka, India
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist
Bangalore, Karnataka
S&P Global
Posted 2 days ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
08
**Position Summary**
The candidate will work along with other data scientists, data engineers and industry analysts to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop/deploy new products
+ Work as an Individual Contributor and should be able to work well with the team
+ Participate in complex analytical projects and apply data science/engineering techniques to support new or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
**Business competencies**
Essential
+ 2-3 years of industrial/research experience in a Data Science/Engineering Team
+ 1-2 years of experience in working in time series forecasting
+ 1+ years of experience in working with AWS or Databricks
+ 1+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical packages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Bangalore, Karnataka, India
**Grade Level (for internal use):**
08
**Position Summary**
The candidate will work along with other data scientists, data engineers and industry analysts to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop/deploy new products
+ Work as an Individual Contributor and should be able to work well with the team
+ Participate in complex analytical projects and apply data science/engineering techniques to support new or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
**Business competencies**
Essential
+ 2-3 years of industrial/research experience in a Data Science/Engineering Team
+ 1-2 years of experience in working in time series forecasting
+ 1+ years of experience in working with AWS or Databricks
+ 1+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical packages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Bangalore, Karnataka, India
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist
Gurgaon, Haryana
SAP
Posted 2 days ago
Job Viewed
Job Description
**We help the world run better**
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
**What you'll do**
+ You will work with a team of highly technical and motivated developers.
+ Collaborate and work with teams spread across geographies and time zones.
+ You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. This includes the analysis and specification of the customer-specific business requirements as well as the design, implementation, maintenance and in case of cloud services operation of customer-specific solutions.
+ Implement backlogs for functional and non-functional requirements.
+ Design, develop, deploy and monitor efficient AI/ML modules that drives complex business applications.
+ Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support.
+ You will work on multiple topics and technologies with adequate enablement.
**What you bring:**
Educational Qualification
+ Bachelors/master's degree in computer science, machine learning, data science or related fields, with knowledge and experience on knowledge representation
Work Experience
+ 4 years of industry experience in a Data Science.
Skills and Competencies:
+ Extensive knowledge of various machine learning algorithms and concepts used to build predictive models.
+ Develop and deploy applications based on Large Language Models (LLM) and Gen AI based products
+ Apply prompt engineering, fine-tuning, and RAG techniques to improve model accuracy and reliability.
+ Design and implement AI pipelines (data ingestion, embeddings, vector databases, knowledge retrieval).
+ Collaborate with backend and frontend engineers to build production-ready APIs and interfaces.
+ Implement guardrails, safety mechanisms, and bias detection to ensure responsible AI usage.
+ Understanding of Agent development and frameworks like Lang graph.
+ Understanding of Basic UI development in Python.
+ In-depth knowledge in the following data science domains:
+ Text Analysis and Natural Language Processing
+ Neural Networks and Deep Learning
+ Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools.
+ Software engineering experience of AI related projects, using advanced techniques like vector databases, LLMs, and NLPs
+ Prior experience in deploying machine learning models into production.
+ Experience in working with GPUs to develop models.
+ Possess strong interpersonal and stakeholder management skills.
+ Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format.
+ Strong written and verbal communication skills
+ Demonstrated the ability to independently develop new concepts and stay current with academic research.
Expectations and Tasks:
+ Conceptualize, design, and deliver high quality solutions and insightful analysis.
+ Work on gathering data and requirements, participate in solution scoping and architecture, research, and prototyping innovative models.
+ Build solutions by exploring data, building & validating models and deploying them to deliver maximum business impact.
+ Interact with both - internal and external stakeholders daily.
+ Handle multiple projects as an individual contributor and be a multiplier by actively mentoring other resources within the team.
+ Be up to date with latest and best practices in delivering enterprise grade data science solutions.
+ Build credibility and trust with customers and project teams during project execution.
**Meet your team:**
SAP Private Cloud Cross Technology and Architecture unit that is driving technology empowering innovations in business and people. It is part of the global organization Private Cloud dedicated to delivering innovative solutions to meet our customers' unique business process needs in Private Cloud.
+ You will be joining a dynamic and passionate team dedicated to leveraging AI to facilitate seamless interactions between individuals and information.
+ We foster a culture of collaboration, learning, and growth, encouraging all team members to contribute ideas and perspectives.
+ Enjoy the benefits of working within a diverse and international environment, with opportunities to collaborate with colleagues from around the globe.
Our vision is to become the premier strategic RISE with SAP enabler, driving accelerated innovation and technology adoption leveraging the SAP Business Technology Platform, focusing on a clean core approach
**Bring out your best**
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
**We win with inclusion**
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program ( , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
**AI Usage in the Recruitment Process**
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process ( .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
**What you'll do**
+ You will work with a team of highly technical and motivated developers.
+ Collaborate and work with teams spread across geographies and time zones.
+ You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. This includes the analysis and specification of the customer-specific business requirements as well as the design, implementation, maintenance and in case of cloud services operation of customer-specific solutions.
+ Implement backlogs for functional and non-functional requirements.
+ Design, develop, deploy and monitor efficient AI/ML modules that drives complex business applications.
+ Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support.
+ You will work on multiple topics and technologies with adequate enablement.
**What you bring:**
Educational Qualification
+ Bachelors/master's degree in computer science, machine learning, data science or related fields, with knowledge and experience on knowledge representation
Work Experience
+ 4 years of industry experience in a Data Science.
Skills and Competencies:
+ Extensive knowledge of various machine learning algorithms and concepts used to build predictive models.
+ Develop and deploy applications based on Large Language Models (LLM) and Gen AI based products
+ Apply prompt engineering, fine-tuning, and RAG techniques to improve model accuracy and reliability.
+ Design and implement AI pipelines (data ingestion, embeddings, vector databases, knowledge retrieval).
+ Collaborate with backend and frontend engineers to build production-ready APIs and interfaces.
+ Implement guardrails, safety mechanisms, and bias detection to ensure responsible AI usage.
+ Understanding of Agent development and frameworks like Lang graph.
+ Understanding of Basic UI development in Python.
+ In-depth knowledge in the following data science domains:
+ Text Analysis and Natural Language Processing
+ Neural Networks and Deep Learning
+ Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools.
+ Software engineering experience of AI related projects, using advanced techniques like vector databases, LLMs, and NLPs
+ Prior experience in deploying machine learning models into production.
+ Experience in working with GPUs to develop models.
+ Possess strong interpersonal and stakeholder management skills.
+ Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format.
+ Strong written and verbal communication skills
+ Demonstrated the ability to independently develop new concepts and stay current with academic research.
Expectations and Tasks:
+ Conceptualize, design, and deliver high quality solutions and insightful analysis.
+ Work on gathering data and requirements, participate in solution scoping and architecture, research, and prototyping innovative models.
+ Build solutions by exploring data, building & validating models and deploying them to deliver maximum business impact.
+ Interact with both - internal and external stakeholders daily.
+ Handle multiple projects as an individual contributor and be a multiplier by actively mentoring other resources within the team.
+ Be up to date with latest and best practices in delivering enterprise grade data science solutions.
+ Build credibility and trust with customers and project teams during project execution.
**Meet your team:**
SAP Private Cloud Cross Technology and Architecture unit that is driving technology empowering innovations in business and people. It is part of the global organization Private Cloud dedicated to delivering innovative solutions to meet our customers' unique business process needs in Private Cloud.
+ You will be joining a dynamic and passionate team dedicated to leveraging AI to facilitate seamless interactions between individuals and information.
+ We foster a culture of collaboration, learning, and growth, encouraging all team members to contribute ideas and perspectives.
+ Enjoy the benefits of working within a diverse and international environment, with opportunities to collaborate with colleagues from around the globe.
Our vision is to become the premier strategic RISE with SAP enabler, driving accelerated innovation and technology adoption leveraging the SAP Business Technology Platform, focusing on a clean core approach
**Bring out your best**
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
**We win with inclusion**
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program ( , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
**AI Usage in the Recruitment Process**
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process ( .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
This advertiser has chosen not to accept applicants from your region.
3
Data Scientist
Bangalore, Karnataka
IBM
Posted 2 days ago
Job Viewed
Job Description
**Introduction**
We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in Machine Learning, Deep Learning, and Generative AI. The ideal candidate will have a strong track record of delivering end-to-end data science solutions in production environments and hands-on experience with LLMs and Agentic AI frameworks. You will be responsible for driving AI/ML projects from ideation to deployment, collaborating with cross-functional teams, and ensuring scalable implementations.
**Your role and responsibilities**
* Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment.
* Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.)
* Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama.
* Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications.
* Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development.
* Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact.
* Maintain reproducibility and version control using Git, GitHub
* Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders.
**Required technical and professional expertise**
* 7-9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment.
* 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama).
* Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar.
* Strong programming skills in Python and experience with ML/DL libraries
* Experience deploying models via REST APIs or web applications.
* Proficient in SQL for data extraction, transformation, and analysis.
* Experience working with large datasets, feature engineering, and data preprocessing pipelines.
* Solid understanding of model evaluation, cross-validation, and performance metrics.
* Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations.
* Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud).
* Strong interpersonal and client communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in Machine Learning, Deep Learning, and Generative AI. The ideal candidate will have a strong track record of delivering end-to-end data science solutions in production environments and hands-on experience with LLMs and Agentic AI frameworks. You will be responsible for driving AI/ML projects from ideation to deployment, collaborating with cross-functional teams, and ensuring scalable implementations.
**Your role and responsibilities**
* Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment.
* Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.)
* Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama.
* Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications.
* Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development.
* Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact.
* Maintain reproducibility and version control using Git, GitHub
* Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders.
**Required technical and professional expertise**
* 7-9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment.
* 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama).
* Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar.
* Strong programming skills in Python and experience with ML/DL libraries
* Experience deploying models via REST APIs or web applications.
* Proficient in SQL for data extraction, transformation, and analysis.
* Experience working with large datasets, feature engineering, and data preprocessing pipelines.
* Solid understanding of model evaluation, cross-validation, and performance metrics.
* Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations.
* Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud).
* Strong interpersonal and client communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
4
Data Scientist
Pune, Maharashtra
AGCO Corporation
Posted 2 days ago
Job Viewed
Job Description
Data Scientist
Date: Sep 25, 2025
Req ID:
Location:
Pune, MH, IN
Workplace Type: Hybrid/Remote
Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution.
AGCO is looking to hire candidates for the position of **Data Scientist**
**Your Impact**
+ Data Management and Analysis: Extract, clean, and analyze large datasets from diverse sources, including telemetry data, test fleet data, and test bench data, to support engineering and AI applications in the agricultural machinery domain.
+ Insight Generation: Identify patterns, trends, and correlations in data to derive actionable insights that inform product development, parts design, specifications, and operational decisions.
+ Cross-Functional Collaboration: Work closely with cross-functional teams to drive data-driven decision-making and foster innovative solutions that enhance engineering efficiency, improve product quality, and enable the development of new, data-driven solutions for product usage.
+ Model Development and Refinement: Continuously develop, evaluate, and refine analytical models and methods to ensure their accuracy, scalability, and relevance to business needs.
+ Machine Learning Applications: Develop machine learning models to predict maintenance needs, optimize machine settings, analyze customer usage patterns, and enhance overall product performance.
**Your Experience and Qualifications**
+ 3+ years of experience working with structured data, including cleaning, manipulating, and data mining. Experience with unstructured data is a plus.
+ Proven experience with at least two of the following: statistical models, machine learning, deep learning (preferably time series or large language models for NLP, topic modeling, or conversational AI). Familiarity with model setup, fine-tuning, evaluation, and deployment.
+ Strong proficiency in Python, SQL, PySpark, and common frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with R is a plus.
+ Experience with cloud-based tools like Apache Spark, Databricks, AWS Glue, and Amazon SageMaker.
+ Strong data visualization skills and experience with BI tools (e.g., Dash, Tableau, Shiny).
**Your Benefits**
+ GLOBAL DIVERSITY - Diversity means many things to us, different brands, cultures, nationalities, genders, generations - even variety in our roles. You make us unique!
+ ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.
+ POSITIVE IMPACT - Make it personal and help us feed the world.
+ INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence - and work alongside teams of people worldwide who share your enthusiasm.
+ MAKE THE MOST OF YOU - Benefits include health care and wellness plans and flexible and virtual work options.
**Your Workplace**
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.
**Join us as we bring agriculture into the future and apply now!**
Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.
**AGCO is proud to be an Equal Opportunity Employer.**
**Job Segment:** Agronomy, Product Development, Data Management, Data Mining, Agricultural, Agriculture, Research, Technology, Data
Date: Sep 25, 2025
Req ID:
Location:
Pune, MH, IN
Workplace Type: Hybrid/Remote
Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution.
AGCO is looking to hire candidates for the position of **Data Scientist**
**Your Impact**
+ Data Management and Analysis: Extract, clean, and analyze large datasets from diverse sources, including telemetry data, test fleet data, and test bench data, to support engineering and AI applications in the agricultural machinery domain.
+ Insight Generation: Identify patterns, trends, and correlations in data to derive actionable insights that inform product development, parts design, specifications, and operational decisions.
+ Cross-Functional Collaboration: Work closely with cross-functional teams to drive data-driven decision-making and foster innovative solutions that enhance engineering efficiency, improve product quality, and enable the development of new, data-driven solutions for product usage.
+ Model Development and Refinement: Continuously develop, evaluate, and refine analytical models and methods to ensure their accuracy, scalability, and relevance to business needs.
+ Machine Learning Applications: Develop machine learning models to predict maintenance needs, optimize machine settings, analyze customer usage patterns, and enhance overall product performance.
**Your Experience and Qualifications**
+ 3+ years of experience working with structured data, including cleaning, manipulating, and data mining. Experience with unstructured data is a plus.
+ Proven experience with at least two of the following: statistical models, machine learning, deep learning (preferably time series or large language models for NLP, topic modeling, or conversational AI). Familiarity with model setup, fine-tuning, evaluation, and deployment.
+ Strong proficiency in Python, SQL, PySpark, and common frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with R is a plus.
+ Experience with cloud-based tools like Apache Spark, Databricks, AWS Glue, and Amazon SageMaker.
+ Strong data visualization skills and experience with BI tools (e.g., Dash, Tableau, Shiny).
**Your Benefits**
+ GLOBAL DIVERSITY - Diversity means many things to us, different brands, cultures, nationalities, genders, generations - even variety in our roles. You make us unique!
+ ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.
+ POSITIVE IMPACT - Make it personal and help us feed the world.
+ INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence - and work alongside teams of people worldwide who share your enthusiasm.
+ MAKE THE MOST OF YOU - Benefits include health care and wellness plans and flexible and virtual work options.
**Your Workplace**
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.
**Join us as we bring agriculture into the future and apply now!**
Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.
**AGCO is proud to be an Equal Opportunity Employer.**
**Job Segment:** Agronomy, Product Development, Data Management, Data Mining, Agricultural, Agriculture, Research, Technology, Data
This advertiser has chosen not to accept applicants from your region.
5
Data Scientist
Chennai, Tamil Nadu
UPS
Posted 3 days ago
Job Viewed
Job Description
**Before you apply to a job, select your language preference from the options available at the top right of this page.**
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
This advertiser has chosen not to accept applicants from your region.
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6
Data Scientist
Chennai, Tamil Nadu
UPS
Posted 3 days ago
Job Viewed
Job Description
**Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page.**
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._
This advertiser has chosen not to accept applicants from your region.
7
Data Scientist
Mumbai, Maharashtra
Procter & Gamble
Posted 3 days ago
Job Viewed
Job Description
Job Location
Mumbai
Job Description
P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world's largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
Dedication from Us:
You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer: Continuous mentorship - work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment- employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.
Overview of the job
Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.
Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.
Your team
This role reports to business Dry Laundry global Platform leader. You will be working with project teams across Engineering, Manufacturing and Quality across the globe.
How success looks like
+ Enabling savings every year on base budget as per the masterplan
+ Delivering touchless digital transformation masterplan and reapplying across the globe.
+ Responsibilities of the role
+ Provides technical leadership in supporting OU innovation projects.
+ Acts as a key enabler in leading and delivering results against challenges.
+ Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
+ Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
+ Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
+ Work with process/equipment authorities and application developers to identify data relevant for analysis.
+ Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
+ Develop and maintain key data pipelines across selected sites globally
+ Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
+ Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
+ Identify, diagnose, and resolve prognostics model performance issue.
+ Leverage Reliability Engineering improve with data science to develop new solutions to reduce losses.
Job Qualifications
+ Bachelor's in engineering/computer Sci
+ Experience with Machine Learning Techniques
+ Strong communication skills
+ Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions. Strong familiarity with data preparation and processing.
+ Strong analytical statistical and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
+ Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, Power BI, Tableau, and familiarity with functional programming and scripting languages, e.g.: NET, VB, C++, Python, Matlab.
+ Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
+ Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
+ Experience in advance analytics, big data, machine learning.
+ Experience in designing visualization to improve user experience and effective decision making
+ Innovation Approach - Ability to assess business operations and find opportunities, then drive case
+ Experience in data engineering using Azure Data Factory, Databricks, SQL, Knime
+ Experience in Agile project (SCRUM, Kanban) and operate in DevOps, CI/CD environments
+ IT Security & Risk - In touch with modern IT security risks and principles.
+ Validated ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
+ Collaboration attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.
We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.
Visit to know more.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
"At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do.
All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application."
Job Schedule
Full time
Job Number
R
Job Segmentation
Entry Level
Mumbai
Job Description
P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world's largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
Dedication from Us:
You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer: Continuous mentorship - work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment- employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.
Overview of the job
Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.
Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.
Your team
This role reports to business Dry Laundry global Platform leader. You will be working with project teams across Engineering, Manufacturing and Quality across the globe.
How success looks like
+ Enabling savings every year on base budget as per the masterplan
+ Delivering touchless digital transformation masterplan and reapplying across the globe.
+ Responsibilities of the role
+ Provides technical leadership in supporting OU innovation projects.
+ Acts as a key enabler in leading and delivering results against challenges.
+ Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
+ Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
+ Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
+ Work with process/equipment authorities and application developers to identify data relevant for analysis.
+ Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
+ Develop and maintain key data pipelines across selected sites globally
+ Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
+ Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
+ Identify, diagnose, and resolve prognostics model performance issue.
+ Leverage Reliability Engineering improve with data science to develop new solutions to reduce losses.
Job Qualifications
+ Bachelor's in engineering/computer Sci
+ Experience with Machine Learning Techniques
+ Strong communication skills
+ Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions. Strong familiarity with data preparation and processing.
+ Strong analytical statistical and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
+ Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, Power BI, Tableau, and familiarity with functional programming and scripting languages, e.g.: NET, VB, C++, Python, Matlab.
+ Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
+ Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
+ Experience in advance analytics, big data, machine learning.
+ Experience in designing visualization to improve user experience and effective decision making
+ Innovation Approach - Ability to assess business operations and find opportunities, then drive case
+ Experience in data engineering using Azure Data Factory, Databricks, SQL, Knime
+ Experience in Agile project (SCRUM, Kanban) and operate in DevOps, CI/CD environments
+ IT Security & Risk - In touch with modern IT security risks and principles.
+ Validated ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
+ Collaboration attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.
We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.
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We are an equal-opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
"At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do.
All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application."
Job Schedule
Full time
Job Number
R
Job Segmentation
Entry Level
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