289 Lead Data Scientist jobs in Hyderabad
Lead Data Scientist
Hyderabad, Andhra Pradesh
Teradata
Posted 1 day ago
Job Viewed
Job Description
**Our Company**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
This advertiser has chosen not to accept applicants from your region.
0
Lead Data Scientist
Hyderabad, Andhra Pradesh
S&P Global
Posted 1 day ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**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), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317407
**Posted On:** 2025-07-06
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**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), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317407
**Posted On:** 2025-07-06
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
1
Lead Data Scientist
Hyderabad, Andhra Pradesh
S&P Global
Posted 1 day ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**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), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317405
**Posted On:** 2025-07-06
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**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), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317405
**Posted On:** 2025-07-06
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
2
Lead Data Scientist
Hyderabad, Andhra Pradesh
S&P Global
Posted 1 day ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**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), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317408
**Posted On:** 2025-07-06
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**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), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317408
**Posted On:** 2025-07-06
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
3
Lead Data Scientist
Hyderabad, Andhra Pradesh
S&P Global
Posted 1 day ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**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), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317404
**Posted On:** 2025-07-06
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**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), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317404
**Posted On:** 2025-07-06
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
4
Lead Data Scientist
Hyderabad, Andhra Pradesh
S&P Global
Posted 1 day ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**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), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317406
**Posted On:** 2025-07-06
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**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), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317406
**Posted On:** 2025-07-06
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
5
Lead Data Scientist
Hyderabad, Andhra Pradesh
Tezo
Posted 8 days ago
Job Viewed
Job Description
Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.
Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you!
In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models.
What Makes Our AI/ML Practice Unique:
- Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions.
- Collaborative: We foster a positive and engaging work environment where collective ideas thrive.
- Accountable: We take ownership of our performance, both individually and as a team.
- Service Excellence: We maximize our potential through continuous learning and improvement.
- Trusted: We empower individuals to make informed decisions and take calculated risks.
Job Summary:
We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling.
In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack.
Core Requirements:
- At least 6 years of experience working with geographically distributed teams
- 2+ years of experience working in a client-facing role on AI/ML .
- Demonstrable experience in leading a substantive area of work, or line management of a team.
- Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc.
- Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models.
- Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred.
- Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects.
- Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS.
- Business Understanding, Stakeholder management and Team leading skills.
- Strong practical expertise in Python and SQL needed for data science projects.
Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Lead data scientist Jobs in Hyderabad !
6
Lead Data Scientist
Hyderabad, Andhra Pradesh
Tezo
Posted 6 days ago
Job Viewed
Job Description
Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.
Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you!
In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models.
What Makes Our AI/ML Practice Unique:
Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions.
Collaborative: We foster a positive and engaging work environment where collective ideas thrive.
Accountable: We take ownership of our performance, both individually and as a team.
Service Excellence: We maximize our potential through continuous learning and improvement.
Trusted: We empower individuals to make informed decisions and take calculated risks.
Job Summary:
We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling.
In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack.
Core Requirements:
At least 6 years of experience working with geographically distributed teams
2+ years of experience working in a client-facing role on AI/ML .
Demonstrable experience in leading a substantive area of work, or line management of a team.
Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc.
Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models.
Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred.
Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects.
Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS.
Business Understanding, Stakeholder management and Team leading skills.
Strong practical expertise in Python and SQL needed for data science projects.
Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!
Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you!
In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models.
What Makes Our AI/ML Practice Unique:
Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions.
Collaborative: We foster a positive and engaging work environment where collective ideas thrive.
Accountable: We take ownership of our performance, both individually and as a team.
Service Excellence: We maximize our potential through continuous learning and improvement.
Trusted: We empower individuals to make informed decisions and take calculated risks.
Job Summary:
We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling.
In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack.
Core Requirements:
At least 6 years of experience working with geographically distributed teams
2+ years of experience working in a client-facing role on AI/ML .
Demonstrable experience in leading a substantive area of work, or line management of a team.
Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc.
Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models.
Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred.
Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects.
Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS.
Business Understanding, Stakeholder management and Team leading skills.
Strong practical expertise in Python and SQL needed for data science projects.
Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!
This advertiser has chosen not to accept applicants from your region.
7
Lead Data Scientist
Hyderabad, Andhra Pradesh
Firstsource
Posted today
Job Viewed
Job Description
About Firstsource
Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.
Job Title: Lead Data Scientist
Mode of work : Remote
Responsibilities
- Design and implement data-driven solutions to optimize customer experience metrics, reduce churn, and enhance customer satisfaction using statistical analysis, machine learning, and predictive modeling.
- Collaborate with CX teams, contact center operations, customer success, and product teams to gather requirements, understand customer journey objectives, and translate them into actionable analytical solutions.
- Perform exploratory data analysis (EDA) on customer interaction data, contact center metrics, survey responses, and behavioral data to identify pain points and opportunities for CX improvement.
- Build, validate, and deploy machine learning models for customer sentiment analysis, churn prediction, next-best-action recommendations, contact center forecasting, and customer lifetime value optimization.
- Develop CX dashboards and reports using BI tools to track key metrics like NPS, CSAT, FCR, AHT, and customer journey analytics to support strategic decision-making.
- Optimize model performance for real-time customer experience applications through hyperparameter tuning, A/B testing, and continuous performance monitoring.
- Contribute to customer data architecture and pipeline development to ensure scalable and reliable customer data flows across touchpoints (voice, chat, email, social, web).
- Document CX analytics methodologies, customer segmentation strategies, and model outcomes to ensure reproducibility and enable knowledge sharing across CX transformation initiatives.
- Mentor junior data scientists and analysts on CX-specific use cases, and participate in code reviews to maintain high-quality standards for customer-facing analytics.
Skill Requirements
- Proven experience (at least 6+ years) in data science, analytics, and statistical modeling with specific focus on customer experience, contact center analytics, or customer behavior analysis, including strong understanding of CX metrics, customer journey mapping, and voice-of-customer analytics.
- Proficiency in Python and/or R for customer data analysis, sentiment analysis, and CX modeling applications.
- Experience with data analytics libraries such as pandas, NumPy, scikit-learn, and visualization tools like matplotlib, seaborn, or Plotly for customer insights and CX reporting.
- Experience with machine learning frameworks such as Scikit-learn, XGBoost, LightGBM, and familiarity with deep learning libraries (TensorFlow, PyTorch) for NLP applications in customer feedback analysis and chatbot optimization.
- Solid understanding of SQL and experience working with customer databases, contact center data warehouses, and CRM systems (e.g., PostgreSQL, MySQL, SQL Server, Salesforce, ServiceNow).
- Familiarity with data engineering tools and frameworks (e.g., Apache Airflow, dbt, Spark, or similar) for building and orchestrating customer data ETL pipelines and real-time streaming analytics. (Good to have)
- Knowledge of data governance, data quality frameworks, and data lake architectures. (good to have)
- Exposure to business intelligence (BI) tools such as Power BI, Tableau, or Looker for CX dashboarding, customer journey visualization, and executive reporting on customer experience metrics.
- Working knowledge of version control systems (e.g., Git) and collaborative development workflows for customer analytics projects.
- Strong problem-solving skills with customer-centric analytical thinking, and the ability to work independently and as part of cross-functional CX transformation teams.
- Excellent communication and presentation skills, with the ability to explain complex customer analytics concepts to non-technical stakeholders including CX executives, contact center managers, and customer success teams.
Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.
This advertiser has chosen not to accept applicants from your region.
8
Lead Data Scientist
Hyderabad, Andhra Pradesh
Tezo
Posted today
Job Viewed
Job Description
Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.
Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you!
In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models.
What Makes Our AI/ML Practice Unique:
- Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions.
- Collaborative: We foster a positive and engaging work environment where collective ideas thrive.
- Accountable: We take ownership of our performance, both individually and as a team.
- Service Excellence: We maximize our potential through continuous learning and improvement.
- Trusted: We empower individuals to make informed decisions and take calculated risks.
Job Summary:
We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling.
In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack.
Core Requirements:
- At least 6 years of experience working with geographically distributed teams
- 2+ years of experience working in a client-facing role on AI/ML .
- Demonstrable experience in leading a substantive area of work, or line management of a team.
- Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc.
- Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models.
- Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred.
- Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects.
- Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS.
- Business Understanding, Stakeholder management and Team leading skills.
- Strong practical expertise in Python and SQL needed for data science projects.
Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!
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