Senior Data Scientist
Core
Designing and building GenAI-driven and ML-powered products for natural language understanding, data extraction, and information retrieval solutions.
Role type
Senior IC machine-learning engineer (GenAI/NLP) with leadership responsibilities
Builds
Production-ready AI products, pipelines, and MLOps frameworks for S&P Global
Domain
Financial services / AI & Machine Learning
Deliverable
production ML models
Required skills
Large language models (LLMs), prompt engineering, fine-tuning, embedding-based retrieval, Python, PyTorch/TF 2, Hugging Face Transformers, NLP architectures, statistics, probability, MLOps, CI/CD for ML, experiment tracking, model versioning, automated testing, Redis, SQL, Flask/Django/FastAPI, R-Shiny/Dash/Streamlit, MLflow
Preferred skills
Economics/Financial industry experience, market-intelligence or risk analytics products, public contributions on GitHub/Kaggle/StackOverflow/technical blogs
Technologies
Gemini, OpenAI, Anthropic, Llama, NumPy, Pandas, SpaCy, scikit-learn, PyTorch, TensorFlow 2, Hugging Face Transformers, Redis, Flask, Django, FastAPI, SQL, R-Shiny, Dash, Streamlit, MLflow
Responsibilities
Define AI roadmap, tooling choices, and best practices; 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 across functions
Seniority
Senior, hands-on IC with mentorship duties
