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Actuarial Data Scientist - Pricing - HUK-COBURG VVaG
Data Scientist
Lead the development of data‑driven pricing models, leveraging Python, R, and SQL to extract insights, build predictive models, and optimize product pricing for a leading insurance provider.
About the role
Key Responsibilities
- Design, develop, and validate actuarial pricing models using advanced statistical and machine learning techniques.
- Extract, clean, and transform large datasets from internal and external sources with SQL and Python.
- Collaborate with product, underwriting, and risk teams to translate business requirements into analytical solutions.
- Communicate model assumptions, results, and recommendations to stakeholders through clear visualizations and reports.
- Maintain model documentation, version control, and ensure compliance with regulatory and internal governance standards.
Requirements
- Strong programming skills in Python and R, with experience in data manipulation libraries (pandas, dplyr).
- Proven expertise in SQL for data extraction and performance tuning.
- Solid foundation in actuarial science, pricing, and statistical modeling.
- Experience with machine learning frameworks (scikit-learn, caret) and model deployment.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonsqlmachine learning