Senior Data Scientist

External

Spgi · Gurugram, India

Full-timeOn-siteToday

CI/CDData AnalysisDeep LearningDjangoFastAPIFlask

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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.

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:

Our Values:

Integrity, Discovery, Partnership

Senior Data Scientist

About the role

Responsibilities

Benefits

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Company Intel

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