Lead Data Scientist

S&P Global

full-time

Posted on: 1/15/2026

Location Type: Hybrid

Location: Gurugram • India

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About the role

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

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: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
Openness to evaluate and adopt emerging technologies and programming languages as needed.
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.

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.

Tip: use these terms in your resume and cover letter to boost ATS matches.

large language modelsprompt engineeringfine-tuningembedding-based retrievalPythonNumPyPandasSpaCyscikit-learnPyTorch

stakeholder managementmentoringcommunicationcollaborationleadershipcontinuous learninginnovation

Master’s in Computer SciencePh.D. in Computer ScienceBachelor’s in Computer Science