Lead Data Scientist

S&P Global, Inc.; Gurugram District; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

S&P Global is seeking an experienced Machine Learning Engineer to advance AI products and build new ML applications. You will transform data into features, apply advanced ML methods, and deploy models at scale.

Strong Python, feature engineering, and cloud experience are essential for delivering robust AI solutions. Responsibilities include prototyping data-driven models, leveraging generative AI, and collaborating with teams to translate business needs into scalable ML systems.

Qualifications

• 9+ years hands-on AI/ML and data science experience.
• Proficient in Python and related libraries.
• Ability to write robust, testable code and design software architecture.
• Strong ML feature engineering, preprocessing, and modelling skills.
• Knowledge of AI technologies (GenAI, NLP, CV) and business applications.
• Hands-on experience with language models for information retrieval.
• Deep understanding of ML algorithms (regression, classification, clustering, neural nets).
• Familiar with AI platforms (TensorFlow, PyTorch, scikit-learn) and cloud services (AWS, GCP, Azure).
• Experience with RDBMS and NoSQL databases.
• Experience in containerization, CI/CD, and deployments (AWS S3, EKS, EC2).
• Proficiency with IDEs, Git/Azure DevOps, unit testing, and defect management.
• Strong communication and problem-solving skills.
• BS or MS in Computer Science, AI/ML, Data Science or related field.

Responsibilities

• Study and transform data science prototypes.
• Design AI/ML applications.
• Leverage LLMs and vision-language models for information retrieval.
• Select annotated datasets for supervised learning.
• Apply feature engineering to transform raw data into useful features.
• Identify algorithms and tools for ML tasks.
• Develop ML systems per requirements and deploy at scale.
• Train models and run evaluation experiments.
• Integrate models into application flow.
• Extend ML libraries and stay updated with advances.

Skills

AI/ML expertise

Python

Software architecture

Feature engineering

Generative AI / NLP / CV

Language models for IR

ML frameworks (TensorFlow, PyTorch)

Cloud platforms (AWS, GCP, Azure)

Databases (RDBMS, NoSQL)

CI/CD / DevOps

Git / Azure DevOps

Communication skills

Education

BS or MS in CS/AI/DS or related field

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

AWS

GCP

Azure

Job description

About the Role: Grade Level (for internal use): 11

The Team: The Foreseer team delivers digital transformation solutions for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers.

Job Brief: We are looking for a Machine Learning Engineer to help us improve our AI products and create new ML applications. ML Engineer responsibilities include transforming data into useful features using machine learning techniques to feed predictive algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and feature engineering techniques. Your goal is to develop efficient self-learning AI applications.

Responsibilities

• Study and transform data science prototypes
• Design AI/ML applications
• Leverage large language models and vision language models for information retrieval
• Select appropriate annotated datasets for Supervised Learning methods
• Use effective feature engineering to transform raw data into useful features
• Find and implement the right algorithms and tools for ML tasks
• Develop ML systems according to requirements
• Train the developed model and run evaluation experiments
• Integrate the models in application flow and deploy at scale
• Perform statistical analysis of results and refine models
• Extend ML libraries and frameworks to apply in various ML tasks
• Remain updated in the rapidly changing field of machine learning

Requirements and Skills

• 9+ Years hands on experience in AI/ML, Data Science.
• Knowledge of Python and related libraries.
• Ability to effectively write robust and testable code and design software architecture.
• Understanding of ML techniques for feature engineering, data preprocessing, data structures and modelling.
• Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications.
• Hands on experience in leveraging language models for information retrieval.
• Deep understanding of feature engineering techniques, statistics and machine learning algorithms (such as regression, classification, clustering, neural networks, etc.).
• Familiarity with AI platforms (e.g., TensorFlow, PyTorch), libraries (like scikit-learn) and cloud AI services (AWS, GCP, Azure).
• Experience in different data base technologies (like RDBMS, NOSQL).
• Experience in Containerization, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc.
• Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools.
• Strong communication skills.
• An analytical mind with problem-solving abilities.
• BS or MS degree in Computer Science, AI/ML, Data Science or related field.

What’s In It For You?

Our Mission: Advancing Essential Intelligence. 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. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership 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

• 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: https://spgbenefits.com/benefit-summaries

Global 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.

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:[e-mail] your request will be forwarded to the appropriate person.

US Candidates Only: Know Your Rights: Workplace discrimination is illegal

20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

S&P Global enables businesses, governments, and individuals with trusted data, expertise and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive in a rapidly changing global landscape. From helping our customers assess new investments across the capital and commodities markets to navigating the energy expansion, acceleration of artificial intelligence, and evolution of public and private markets, we enable the world’s leading organizations to unlock opportunities, solve challenges, and plan for tomorrow – today.