Data Scientist

• Contribute to the full data & model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring.
• Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI/CD and reproducible experiments.
• Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks); ensure repeatable pipelines.
• Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost.
• Deliver well‑defined work items; clarify requirements through thoughtful questions and proposals.
• Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.
• Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions.
• Help shape elements of the data/ML platform strategy and drive execution within your domain.
• Balance strategic and pragmatic concerns; proactively surface risks and resolve issues.

Senior AI Data Scientist – T. Rowe Labs

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Data Scientist, Agentic AI – Insurance Underwriting

Data Scientist, ML – Insurance Underwriting

Senior Data Scientist, ML – Insurance Underwriting