Senior Data Scientist
Core
Design and build GenAI-driven and ML-powered products for natural language understanding, data extraction, and information retrieval solutions.
Role type
Senior IC data scientist (GenAI/ML strategy & leadership)
Builds
Production-ready AI products, pipelines, and MLOps infrastructure for S&P Global
Domain
Financial services / Generative AI / NLP / Data Engineering
Deliverable
production ML models
Required skills
Large language models (LLMs), prompt engineering, fine-tuning, embedding-based retrieval, Python, PyTorch/TF, transformers, GNNs, MLOps, CI/CD for ML, experiment tracking, model versioning, automated testing, stakeholder management, team mentoring
Preferred skills
Economics/Financial industry experience, market-intelligence or risk analytics products, public contributions on GitHub/Kaggle
Technologies
Gemini, OpenAI, Anthropic, Llama, NumPy, Pandas, SpaCy, scikit-learn, Hugging Face Transformers, Redis, Flask/Django/FastAPI, SQL, MLflow
Responsibilities
Define AI roadmap and tooling choices; Architect, develop, and deploy large-scale ML and GenAI products; Design and implement MLOps practices; Own end-to-end data science project lifecycle; Mentor junior data scientists; Manage stakeholders for alignment and delivery
Seniority
Senior, hands-on IC with leadership responsibilities
