Senior Data Scientist

S&P Global, Inc.; Gurgaon; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Health care

Flexible time off

Continual learning

Retirement plan

Family perks

Job summary

S&P Global in Gurgaon, India, is seeking a Senior Data Scientist (Cognitive Engineering) to design and build GenAI-powered products and ML pipelines. You will lead the EDO, Collection Platforms & AI team, shaping AI strategy, mentoring junior data scientists, and delivering production-ready solutions at enterprise scale.

You will own ML lifecycle stages from data to deployment, define AI roadmaps, adopt MLOps practices, and collaborate with business leaders to translate opportunities into

Qualifications

• Experience building GenAI or NLP pipelines and end-to-end ML projects.
• Leadership or technical lead experience 2+ years.
• Experience in production ML systems and model deployment.
• Experience with data extraction, OCR, or table extraction a plus.

Responsibilities

• Define AI roadmap and tooling for model building and vector retrieval.
• Architect and deploy large-scale ML/GenAI pipelines.
• Implement MLOps, CI/CD, experiment tracking, and model versioning.
• Mentor junior data scientists and drive stakeholder alignment.
• Oversee production deployment and monitoring of models.

Skills

Large language models

Python

MLOps

GenAI

NLP

Data science leadership

Education

Master's degree

Tools

Redis

Flask

Django

FastAPI

MLflow

Job description

About the Role:

Grade Level (for internal use):

10

Job Description – Senior Data Scientist (Cognitive Engineering)

The Team: As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on designing and 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 help define AI strategy, mentor junior team members 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
• Design and implement MLOps practices including CI/CD pipelines for ML models, experiment tracking, model versioning, and automated testing frameworks.
• 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., Gemini, 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 MLOps and deployment tools: Redis, Flask/Django/FastAPI, SQL, R‑Shiny/Dash/Streamlit, MLflow
• Openness to evaluate and adopt emerging technologies and programming languages as needed

Good to have:

• Master’s or Bachelor’s in Computer Science, Statistics, Mathematics, or related field
• 4-8 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 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

Benefits:

We take care of you, so you cantake 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: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected andengaged 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 [e-mail]. 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 activityhere.

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] and 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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

Location: Gurgaon, Haryāna, India