523 Data Scientists jobs in Karnataka
Trainee Intern Data Science
560xxx Bangalore
What Digital Technologies Group
Posted 20 days ago
Job Viewed
Job Description
Company Overview – WhatJobs Ltd
WhatJobs is a global job search engine and career platform operating in over 50 countries. We leverage advanced technology and AI-driven tools to connect millions of job seekers with opportunities, helping businesses and individuals achieve their goals.
Position: Data Science Trainee/Intern
Location: Commercial Street
Duration: 3 Months
Type: Internship/Traineeship (with potential for full-time opportunities)
Role Overview
We are looking for enthusiastic Data Science trainees/interns eager to explore the world of data analytics, machine learning, and business insights. You will work on real-world datasets, apply statistical and computational techniques, and contribute to data-driven decision-making at WhatJobs.
Key Responsibilities
- Collect, clean, and analyze datasets to derive meaningful insights.
- Assist in building and evaluating machine learning models.
- Work with visualization tools to present analytical results.
- Support the team in developing data pipelines and automation scripts.
- Research new tools, techniques, and best practices in data science.
Requirements
- Basic knowledge of Python and data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
- Understanding of statistics, probability, and data analysis techniques.
- Familiarity with machine learning concepts.
- Knowledge of Google Data Studio and BigQuery for reporting and data management.
- Strong analytical skills and eagerness to learn.
- Good communication and teamwork abilities.
What We Offer
- Hands-on experience with real-world data science projects.
- Guidance and mentorship from experienced data professionals.
- Opportunity to work with a global technology platform.
- Certificate of completion and potential for full-time role.
Company Details
About What Digital Technologies Pvt Ltd What Digital Technologies Pvt Ltd is one of the world's fastest-growing online job search specialists. Launched in London in 2011, our flagship product WhatJobs attracts millions of job seekers around the world. Every minute of every day, we help our users connect with employers worldwide to find their perfect job.
This advertiser has chosen not to accept applicants from your region.
0
Analyst - Data Science
Bangalore, Karnataka
Diageo
Posted 2 days ago
Job Viewed
Job Description
**Job Description :**
+ **Job Title:** Analyst Data Science **About** **us** : With over 200 brands sold in nearly 180 countries, we're the world's leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you'll test new ideas, learn and grow, and unlock a brighter, more exciting future.Join us to create a career worth celebrating. **About the Function:** Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking. **About the role** **: Experience / skills required:**
+ 2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms
+ Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc.
+ Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc.
+ Strong language coding skills required in Python/pyspark.
+ Knowledge & experience in SQL database & MLOps.
+ Good to have knowledge in the areas of Product Assortment, Marketing Mix Modelling, Demand Forecasting etc.
+ Good to have skills in Natural Language Processing, Big Data Analytics, etc.
+ Good to have working knowledge in Azure/Azure Databricks, Alteryx, Dataiku, S3, Power shell scripting, Windows Batch scripting.
+ Prior advanced analytics experience in CPG or Alcohol Beverage industry is a plus.
+ Have a hands-on approach with a proven ability to work independently with minimal supervision to deliver results
+ **Diversity statement:** Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.Feel inspired? Then this may be the opportunity for you. _If you require a reasonable adjustment, please ensure that you capture this information when you submit your application._
**Worker Type :**
Regular
**Primary Location:**
Bangalore Karle Town SEZ
**Additional Locations :**
**Job Posting Start Date :**
With over 200 brands sold in more than 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. From iconic names to innovative newcomers - the brands we're building are rooted in culture and local communities. Our ambition is to be one of the best performing, most trusted and most respected consumer products companies in the world.
Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose brilliant minds helped shape the alcohol industry. And through our people, their legacy lives on. Join us, and you'll collaborate with talented people from all corners of the world. Together, you'll innovate and push boundaries, shaping a more inclusive and sustainable future that we can all be proud of.
With diversity at our core, we celebrate our people's unique passions, commitments and specialist skills. Because when varied voices, mindsets, and personalities come together, great ideas are born. In our supportive culture, your voice will be heard and you'll be empowered to be you. Just bring your ambition, curiosity and ideas, and we'll celebrate your work and help you reach your fullest potential.
**DRINKiQ**
What's your DRINKiQ? Take our quiz to understand how alcohol is made and explore the effects of drinking. You can discover everything you need to know at DRINKiQ (
+ **Job Title:** Analyst Data Science **About** **us** : With over 200 brands sold in nearly 180 countries, we're the world's leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you'll test new ideas, learn and grow, and unlock a brighter, more exciting future.Join us to create a career worth celebrating. **About the Function:** Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking. **About the role** **: Experience / skills required:**
+ 2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms
+ Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc.
+ Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc.
+ Strong language coding skills required in Python/pyspark.
+ Knowledge & experience in SQL database & MLOps.
+ Good to have knowledge in the areas of Product Assortment, Marketing Mix Modelling, Demand Forecasting etc.
+ Good to have skills in Natural Language Processing, Big Data Analytics, etc.
+ Good to have working knowledge in Azure/Azure Databricks, Alteryx, Dataiku, S3, Power shell scripting, Windows Batch scripting.
+ Prior advanced analytics experience in CPG or Alcohol Beverage industry is a plus.
+ Have a hands-on approach with a proven ability to work independently with minimal supervision to deliver results
+ **Diversity statement:** Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.Feel inspired? Then this may be the opportunity for you. _If you require a reasonable adjustment, please ensure that you capture this information when you submit your application._
**Worker Type :**
Regular
**Primary Location:**
Bangalore Karle Town SEZ
**Additional Locations :**
**Job Posting Start Date :**
With over 200 brands sold in more than 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. From iconic names to innovative newcomers - the brands we're building are rooted in culture and local communities. Our ambition is to be one of the best performing, most trusted and most respected consumer products companies in the world.
Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose brilliant minds helped shape the alcohol industry. And through our people, their legacy lives on. Join us, and you'll collaborate with talented people from all corners of the world. Together, you'll innovate and push boundaries, shaping a more inclusive and sustainable future that we can all be proud of.
With diversity at our core, we celebrate our people's unique passions, commitments and specialist skills. Because when varied voices, mindsets, and personalities come together, great ideas are born. In our supportive culture, your voice will be heard and you'll be empowered to be you. Just bring your ambition, curiosity and ideas, and we'll celebrate your work and help you reach your fullest potential.
**DRINKiQ**
What's your DRINKiQ? Take our quiz to understand how alcohol is made and explore the effects of drinking. You can discover everything you need to know at DRINKiQ (
This advertiser has chosen not to accept applicants from your region.
1
AVP - Data Science
Bengaluru, Karnataka
Citigroup
Posted 4 days ago
Job Viewed
Job Description
**What do we do?**
+ The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.
+ The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.
ROLE DESCRIPTION
+ The role will be Asst. Vice President (C12) in the TTS Analytics team
+ The role will report to the VP or SVP leading the team
+ The role will involve leading a team of data scientists and analysts
+ The role will involve leading a team of data scientists and analysts responsible for the full lifecycle of machine learning model development and deployment.
+ The role will involve working on multiple data science projects throughout the year on business problems across the client life cycle - acquisition, engagement, client experience and retention - for the TTS business.
+ This includes understanding business needs, designing, developing, and deploying machine learning models, and communicating insights and recommendations to stakeholders.
+ The candidate should demonstrate a strong understanding of machine learning principles, model development methodologies, and deployment strategies.
+ This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights and machine learning solutions to business and functional stakeholders.
QUALIFICATIONS
**Experience:**
+ Bachelor's Degree with 7-10 years of experience in data analytics, or Master's Degree with 6-10 years of experience in data analytics, or PhD.
+ Must have:
+ Marketing analytics experience
+ Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
+ Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
+ Strong hands-on knowledge of Data Science and Machine Learning, including supervised learning algorithms (both Classification and Regression) such as Linear Regression, Random Forest, XGBoost, Support Vector Machines, etc., as well as unsupervised learning techniques (e.g., clustering, dimensionality reduction).
+ Experience building and deploying time series models for forecasting and anomaly detection.
+ Experience with unstructured data analysis, e.g., call transcripts, using Natural Language Processing (NLP)/Text Mining techniques.
+ Experience building end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
+ Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
+ Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
+ Good to have:
+ Experience in financial services
+ Deep learning experience; able to work with Neural Networks using TensorFlow and/or PyTorch.
+ Knowledge on working with GenAI and LLM
**Skills:**
**Analytical Skills:**
+ Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them
+ Strong logical reasoning and problem-solving ability
+ Proficient in converting business problems into analytical tasks, and analytical findings into business insights
+ Proficient in identifying trends and patterns with data
**Tools and Platforms:**
+ Proficient in Python/R, PySpark, SQL
+ Proficient with ML libraries such as Scikit-learn, TensorFlow and PyTorch
+ Proficient in MS Excel, PowerPoint
+ Good to have:
+ Experience with Tableau
+ Experience in Hive
**Soft Skills:**
+ Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations
+ Building and managing high performance teams
+ Ability to coach and mentor team members on an ongoing basis
+ Ability to drive ideation on analytical projects to tackle strategic business priorities
+ Comfort on working with ambiguity and open-ended questions
+ Strong process/project management skills
+ Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
---
**Job Family Group:**
Decision Management
---
**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
+ The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.
+ The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.
ROLE DESCRIPTION
+ The role will be Asst. Vice President (C12) in the TTS Analytics team
+ The role will report to the VP or SVP leading the team
+ The role will involve leading a team of data scientists and analysts
+ The role will involve leading a team of data scientists and analysts responsible for the full lifecycle of machine learning model development and deployment.
+ The role will involve working on multiple data science projects throughout the year on business problems across the client life cycle - acquisition, engagement, client experience and retention - for the TTS business.
+ This includes understanding business needs, designing, developing, and deploying machine learning models, and communicating insights and recommendations to stakeholders.
+ The candidate should demonstrate a strong understanding of machine learning principles, model development methodologies, and deployment strategies.
+ This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights and machine learning solutions to business and functional stakeholders.
QUALIFICATIONS
**Experience:**
+ Bachelor's Degree with 7-10 years of experience in data analytics, or Master's Degree with 6-10 years of experience in data analytics, or PhD.
+ Must have:
+ Marketing analytics experience
+ Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
+ Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
+ Strong hands-on knowledge of Data Science and Machine Learning, including supervised learning algorithms (both Classification and Regression) such as Linear Regression, Random Forest, XGBoost, Support Vector Machines, etc., as well as unsupervised learning techniques (e.g., clustering, dimensionality reduction).
+ Experience building and deploying time series models for forecasting and anomaly detection.
+ Experience with unstructured data analysis, e.g., call transcripts, using Natural Language Processing (NLP)/Text Mining techniques.
+ Experience building end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
+ Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
+ Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
+ Good to have:
+ Experience in financial services
+ Deep learning experience; able to work with Neural Networks using TensorFlow and/or PyTorch.
+ Knowledge on working with GenAI and LLM
**Skills:**
**Analytical Skills:**
+ Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them
+ Strong logical reasoning and problem-solving ability
+ Proficient in converting business problems into analytical tasks, and analytical findings into business insights
+ Proficient in identifying trends and patterns with data
**Tools and Platforms:**
+ Proficient in Python/R, PySpark, SQL
+ Proficient with ML libraries such as Scikit-learn, TensorFlow and PyTorch
+ Proficient in MS Excel, PowerPoint
+ Good to have:
+ Experience with Tableau
+ Experience in Hive
**Soft Skills:**
+ Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations
+ Building and managing high performance teams
+ Ability to coach and mentor team members on an ongoing basis
+ Ability to drive ideation on analytical projects to tackle strategic business priorities
+ Comfort on working with ambiguity and open-ended questions
+ Strong process/project management skills
+ Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
---
**Job Family Group:**
Decision Management
---
**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
This advertiser has chosen not to accept applicants from your region.
2
Data Science Manager
Bangalore, Karnataka
Kyndryl
Posted 4 days ago
Job Viewed
Job Description
**Who We Are**
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
-Excellent problem-solving, analytical, and critical thinking skills
-Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
-Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
Preferred Skills and Experience
-Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
-Professional certification, e.g., Open Certified Data Scientist
-Cloud platform certification, e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
-Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
-Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl 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, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
-Excellent problem-solving, analytical, and critical thinking skills
-Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
-Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
Preferred Skills and Experience
-Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
-Professional certification, e.g., Open Certified Data Scientist
-Cloud platform certification, e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
-Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
-Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl 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, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl 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.
3
Consultant, Data Science
Bengaluru, Karnataka
Dell Technologies
Posted 4 days ago
Job Viewed
Job Description
**Data Science Consultant**
Dell Content Engineering and Translation (CET) teams exist within a very complex ecosystem of departments and business units around the world that together enable Dell's commitment to excellence. As Dell expands its offerings and updates its infrastructure, CET is increasingly at the center of many fast-paced, exciting projects which require vision and technical acumen to achieve, as well as expertise at navigating administrative and political complexity.
Join us as a **Senior Data Scientist** on our **DevOps** team in **Bangalore** to do the best work of your career and make a profound social impact.
**What you'll achieve**
The Senior Data Scientist will join Dell's Content Engineering & Translation (CET) organization, driving innovation at the intersection of knowledge graphs and Generative AI. This role focuses on graph-based modelling and reasoning as well as GenAI, LLMs, and agentic workflows, delivering intelligent, explainable, and scalable solutions for Dell's global content ecosystem. You will combine strong theoretical foundations in data science and machine learning with hands-on expertise in graph technologies, LLM integration, and multi-modal workflows.
**You will:**
+ Collect and analyze linguistic data; implement core NLP techniques like tokenization, NER, and sentiment analysis for MT/NLG pipelines.
+ Design reproducible experiments, establish annotation protocols, and evaluate models using metrics like BLEU, COMET, and ROUGE.
+ Build and enrich knowledge graphs; design ontologies and schemas; optimize queries using SPARQL and Cypher.
+ Develop GraphRAG pipelines, train graph/text embeddings, and integrate agentic frameworks (e.g., LangGraph) for multi-hop reasoning and query translation.
+ Work with MLOps teams to deploy models with CI/CD; monitor GenAI solutions for quality and performance; communicate results to stakeholders.
**Take the first step towards your dream career**
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
**Essential Requirements**
+ Strong Python skills with hands-on experience in ML frameworks (PyTorch, TensorFlow) and data processing libraries.
+ Deep understanding of NLP techniques (e.g., summarization, paraphrasing, NER, sentiment analysis) and evaluation metrics (BLEU, COMET, ROUGE, METEOR).
+ Familiarity with LLM frameworks (LangGraph, LlamaIndex), RAG design patterns, and multi-agent orchestration with human-in-the-loop processes.
+ Skilled in graph ML, embeddings, and semantic modeling; experienced in building GraphRAG pipelines and applying graph algorithms.
+ Excellent communication and presentation skills; ability to document and explain complex solutions clearly.
**Desirable Requirements**
+ Experience with Agile development methodology (e.g., Scrum)
+ Experience - 12 to 15 yrs
**Who we are**
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
**Application closing date: 30 October 2025**
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here ( .
**Job ID:** R
Dell Content Engineering and Translation (CET) teams exist within a very complex ecosystem of departments and business units around the world that together enable Dell's commitment to excellence. As Dell expands its offerings and updates its infrastructure, CET is increasingly at the center of many fast-paced, exciting projects which require vision and technical acumen to achieve, as well as expertise at navigating administrative and political complexity.
Join us as a **Senior Data Scientist** on our **DevOps** team in **Bangalore** to do the best work of your career and make a profound social impact.
**What you'll achieve**
The Senior Data Scientist will join Dell's Content Engineering & Translation (CET) organization, driving innovation at the intersection of knowledge graphs and Generative AI. This role focuses on graph-based modelling and reasoning as well as GenAI, LLMs, and agentic workflows, delivering intelligent, explainable, and scalable solutions for Dell's global content ecosystem. You will combine strong theoretical foundations in data science and machine learning with hands-on expertise in graph technologies, LLM integration, and multi-modal workflows.
**You will:**
+ Collect and analyze linguistic data; implement core NLP techniques like tokenization, NER, and sentiment analysis for MT/NLG pipelines.
+ Design reproducible experiments, establish annotation protocols, and evaluate models using metrics like BLEU, COMET, and ROUGE.
+ Build and enrich knowledge graphs; design ontologies and schemas; optimize queries using SPARQL and Cypher.
+ Develop GraphRAG pipelines, train graph/text embeddings, and integrate agentic frameworks (e.g., LangGraph) for multi-hop reasoning and query translation.
+ Work with MLOps teams to deploy models with CI/CD; monitor GenAI solutions for quality and performance; communicate results to stakeholders.
**Take the first step towards your dream career**
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
**Essential Requirements**
+ Strong Python skills with hands-on experience in ML frameworks (PyTorch, TensorFlow) and data processing libraries.
+ Deep understanding of NLP techniques (e.g., summarization, paraphrasing, NER, sentiment analysis) and evaluation metrics (BLEU, COMET, ROUGE, METEOR).
+ Familiarity with LLM frameworks (LangGraph, LlamaIndex), RAG design patterns, and multi-agent orchestration with human-in-the-loop processes.
+ Skilled in graph ML, embeddings, and semantic modeling; experienced in building GraphRAG pipelines and applying graph algorithms.
+ Excellent communication and presentation skills; ability to document and explain complex solutions clearly.
**Desirable Requirements**
+ Experience with Agile development methodology (e.g., Scrum)
+ Experience - 12 to 15 yrs
**Who we are**
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
**Application closing date: 30 October 2025**
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here ( .
**Job ID:** R
This advertiser has chosen not to accept applicants from your region.
4
Data Science Manager
Bengaluru, Karnataka
MathCo
Posted 1 day ago
Job Viewed
Job Description
TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.
For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’.
Job Responsibilities
As Manager-Delivery, you will be responsible for a wide range of engagements listed below:
- Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project.
- Develop a comprehensive project plan that aligns with the scope and objectives of the project.
- Develop appropriate solution design that will help client achieve their goals.
- Assign delivery team members to different activities suited to their individual skills.
- Lead the execution of project activities according to the project plan. Monitor the project, track milestones, and adhere to agreed-upon timelines and scope.
- Accountable for the delivery quality of the project in question.
- Comply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores.
- Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients.
- Ensure compliance with best practices and established processes for quality assurance—for example, using quality assurance checklists, coding best practices, peer reviews, and documentation.
- Provide both business and technical guidance to the delivery team.
- Coach individuals in the team and build a high-performance workplace.
- Establish an environment of mutual trust and respect and encourage the team to experiment with new delivery ideas.
- Review the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc.
Required Skills (Must have)
6- 10 years of experience into Data Science.
Tech:
- Advanced knowledge of probability and statistics
- Advanced knowledge of Practical Machine Learning and awareness of the key pitfalls in machine learning and approaches to addressing them
- Intermediate knowledge levels in SQL and Python
- Intermediate knowledge of project management methodologies and tools
- Intermediate knowledge of MS Office applications: MS Excel, MS PowerPoint, and MS Word.
Non Tech:
- Strong business acumen with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients.
- Ability to storyboard presentations effectively and hold conversations with mid-management-level clients.
- Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact.
- Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation.
- Provide leadership and mentorship to the delivery team.
- Self-driven with a strong sense of ownership.
This advertiser has chosen not to accept applicants from your region.
5
Data Science Specialist
Bengaluru, Karnataka
talentumHR
Posted 1 day ago
Job Viewed
Job Description
Senior Professional – Data Science (Hybrid)
Location: Bengaluru
Experience: 4–6+ Years
Notice Period: 30–45 Days (Max 60 Days)
Work Mode: Hybrid (2–3 days/week office)
Target CTC: ₹22–25 LPA (flexible within band based on experience)
About the Role
We are seeking a results-focused Data Science Professional to design, build, and scale analytical solutions across Insurance, Finance, and Risk platforms for a global product suite . In this role, you will collaborate closely with cross-functional product and engineering teams to identify high-impact business problems, build predictive models, and translate insights into meaningful business outcomes.
Key Responsibilities
- Diagnose model performance issues; research, test, and implement alternative approaches; prepare supporting analyses; and deploy improved solutions.
- Conduct complex statistical analyses on real estate, mortgage, and insurance-related datasets.
- Apply machine learning and data mining techniques to identify patterns from large and complex data sources.
- Build forecasts and predictive models based on economic, behavioral, and other relevant factors.
- Prepare, maintain, and document programs, modeling scripts, and analytical processes.
- Perform modeling and analysis using various data mining, machine learning, statistical, and mathematical methodologies.
- Drive the re-engineering and enhancement of current production models and prototype solutions as needed.
- Lead and independently manage quantitative and qualitative research projects end-to-end.
- Assess, interpret, and communicate research findings to internal stakeholders.
- Understand business requirements and conceptualize analytical solutions tailored to address those needs.
- Collaborate regularly with cross-functional teams to research, define, and implement scalable analytic solutions across the organization.
- Troubleshoot a wide range of complex analytical and modeling problems and drive them to resolution.
- Research and evaluate emerging GenAI best practices, and apply relevant solutions to new or evolving business challenges.
Required Qualifications
- Bachelor’s or Master’s degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics, or a related field.
- Minimum of 5 years of industry or academic experience applying AI/ML techniques, data mining, statistical modeling, and/or pattern recognition on real-world problems.
- Experience or familiarity with network analysis and graph theory is a plus.
- Hands-on experience building and maintaining models in a cloud environment .
- Proficiency in at least one of the following programming languages: Python, Java, R, C++, Scala .
- Strong big data expertise with tools such as Spark, Hadoop, Hive , etc.
- Experience integrating Generative AI (GenAI) into production environments is a plus.
- Strong team player; willing to assist and jump into projects at any stage as needed.
- Detail-oriented with strong presentation skills and prior experience interacting with clients.
- Ability to communicate effectively and professionally with key stakeholders, and explain business requirements to technical teams.
- Strong interpersonal and communication skills, both verbal and written.
- Ability to manage multiple complex projects simultaneously.
- Capable of effectively presenting analytical insights and modeling techniques to internal and external audiences.
Who Should Apply
Data Scientists looking to move beyond pure ML into business impact
Professionals comfortable working hybrid in Bengaluru
Builders who enjoy experimentation and new use case exploration
Candidates prepared to join within 30–45 days (max 60)
Note
Hybrid role — candidates must be willing to work onsite in Bengaluru 2–3 days/week.
Compensation capped at ₹25 LPA.
This advertiser has chosen not to accept applicants from your region.
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6
Data Science Manager
Bengaluru, Karnataka
MathCo
Posted 1 day ago
Job Viewed
Job Description
TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.
For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’.
Job Responsibilities
As Manager-Delivery, you will be responsible for a wide range of engagements listed below:
- Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project.
- Develop a comprehensive project plan that aligns with the scope and objectives of the project.
- Develop appropriate solution design that will help client achieve their goals.
- Assign delivery team members to different activities suited to their individual skills.
- Lead the execution of project activities according to the project plan. Monitor the project, track milestones, and adhere to agreed-upon timelines and scope.
- Accountable for the delivery quality of the project in question.
- Comply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores.
- Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients.
- Ensure compliance with best practices and established processes for quality assurance—for example, using quality assurance checklists, coding best practices, peer reviews, and documentation.
- Provide both business and technical guidance to the delivery team.
- Coach individuals in the team and build a high-performance workplace.
- Establish an environment of mutual trust and respect and encourage the team to experiment with new delivery ideas.
- Review the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc.
Required Skills (Must have)
Tech:
- Advanced knowledge of probability and statistics
- Advanced knowledge of Practical Machine Learning and awareness of the key pitfalls in machine learning and approaches to addressing them
- Intermediate knowledge levels in SQL and Python
- Intermediate knowledge of project management methodologies and tools
- Intermediate knowledge of MS Office applications: MS Excel, MS PowerPoint, and MS Word.
Non Tech:
- Strong business acumen with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients.
- Ability to storyboard presentations effectively and hold conversations with mid-management-level clients.
- Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact.
- Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation.
- Provide leadership and mentorship to the delivery team.
- Self-driven with a strong sense of ownership.
This advertiser has chosen not to accept applicants from your region.
7
Data Science Manager
Bengaluru, Karnataka
Teamware Solutions
Posted 3 days ago
Job Viewed
Job Description
10-15 years of professional experience, including more than four years in consulting/professional
services
Big 4 consulting background, and/or boutique consulting experience is a plus
10+ years of professional experience in financial services
xperience managing complex projects within a professional services environment and a global
delivery model is ideal
xperience in handling and building financial data models (or finance information models) to
support finance and risk data.
nderstand dimensional data modeling. Can design and maintain conceptual, logical, and
physical data model.
ollaborate with stakeholders to ensure data models align with business rules and data
governance standards.
nderstanding of enterprise cloud platforms AWS, GCP or MS Azure capabilities relating to data
staging, normalization and transformation
xperience in interfacing modern ERP (SAP S4/Hana, Workday Financials, Oracle FSDF or
AFCS. Microsoft F&O) and / ore EPM (OneStream, Anaplan, Adaptive) tools with enterprise cloud
platforms
n addition, the candidate(s) must have experience in one or more of the following fields:
o Understanding of the core Finance areas
o Experience leading both external and internal teams on medium or large scale finance
transformations
o High level of client service orientation such as building solid relationships with clients and
vendors; approaching clients and vendors in an organized manner, demonstrating
flexibility in prioritizing and completing tasks
o Excellent team player with strong leadership skills and an understanding of personal and
team roles; contributing to a positive work environment and proactively seeking guidance
and feedback.
o Superior project management skills
o Excellent communication skills – oral, written, presentation
o Strong problem solving orientation and analytical skills.
This advertiser has chosen not to accept applicants from your region.
8
Data Science Specialist
Bengaluru, Karnataka
Publicis Global Delivery (PGD)
Posted 7 days ago
Job Viewed
Job Description
You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering state-of-the-art solutions for ML pipelining, deployment and integration with the back-end product. Ensure efficient architecture and low-level design of deep learning-based solutions and high-quality deliverables with focus on innovation, scientific research, experimentation and optimal design.
As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving.
- Development and implementation of ML models for product brand extraction based on product name, description and other attributes
- Development and implementation of ML-based product matching solutions
- Development of text-based product classification tools
- Analyze big amount of data from online retailers using statistical techniques to identify patterns
- Build ML, statistical and analytical models, forecasting models
- Create MLDL solution and infrastructure
- Responsible for statistical analysis and model research to develop an advanced analytical approach to generate the required insights
- Design and implement efficient, fault-tolerant Machine Learning flows for processing high-velocity, heterogeneous data, including optimization of Machine Learning workflows for building automated decision systems that provide future predictions
- Provide statistical analysis of large and complex datasets and ensure accuracy in analysis
- Develop innovative and effective approaches to solve analytics problems
You will fit right in if you have –
- 8 years of relevant experience in the domain
- Bachelor’s degree in Computer Science or equivalent
- 4+ years’ experience researching and developing ML models for big data analysis
- Experience of deep learning in NLP (LSTM, BERT, etc.)
- Proficiency with any deep learning framework, Tensorflow + Keras is preferred
- 3+ years’ experience and deep understanding of text processing techniques and best practices (classification, NER, text ranking)
- Python (Pandas, NumPy , scipy, scikit-learn)
- Textual data processing libraries (NLTK, GenSim)
- 2+ years’ experience of training and productionalization of deep learning models
- 3+ years’ experience of software development in Python
- Excellent knowledge of the data science problems, including large scale data and data pipeline management
- Excellent presentation skills, communication skills, verbal and written
- Expert in using data analytical and modeling tools
- Excellent knowledge in using visualization tools
- Strong interpersonal skills and a combination of analytical skills, intellectual curiosity, and accountability
This advertiser has chosen not to accept applicants from your region.
9