Lead Actuarial Data Scientist
Tasks
- Build and refine pricing models using GLM and gradient boosting
- Design scalable repeatable model development and data pipelines
- Lead end to end design and implementation of rating plans for personal auto and home insurance
- Mentor junior actuaries and data scientists
- Perform feature engineering and integrate external data sources
- Translate analytics into pricing and product decisions
- Validate and conduct peer review of rating plan changes
Perks/Benefits
- N/A
Skills/Tech-stack
Data Pipelines | Feature Engineering | Generalized Linear Models | Git | Gradient boosting | Insurance rating | Linear Models | Machine Learning | Model Validation | Predictive Modeling | Pricing models | Python | Risk Segmentation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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