Senior Data Scientist

Job description

About the Role: Grade Level (for internal use): 10Job 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 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 min