Role Summary
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Senior data scientist role supporting P&C insurance customers via Nearmap AI. Lead development and deployment of predictive risk models for pricing, underwriting, and regulatory workflows. Senior individual contributor working remotely (preference for NYC metro or Southern CA). Requires deep P&C actuarial/statistical expertise and production ML experience.
JOB DESCRIPTION SUMMARY
- Lead end-to-end insurance risk model development and deployment
- Focus on P&C pricing, underwriting, and regulatory model needs
- Build models using GLMs, GBMs and Tweedie-distributed actuarial approaches
- Expert Python (NumPy/Pandas/Scikit-learn) and SQL; git-based workflows
- Remote role with preference for NYC metro or Southern California candidates
DOMAIN EXPERTISE
- property/casualty insurance modeling
- P&C pricing and rating
- geospatial and imagery data integration for insurance
KEY REQUIREMENTS
- 5+ years in P&C insurance as a data scientist or actuary
- Deep knowledge of P&C pricing, GLMs, GBMs and Tweedie modelling
- Expert Python and SQL skills with production ML/MLOps experience
- Proven leadership of complex modelling projects end-to-end
- Ability to advise senior insurance stakeholders and prepare filings
TECH STACK
- Git_GitHub
