Actuarial Data Scientist

📋 Description

• Own commercial auto pricing models end-to-end from feature development through deployment.
• Build and deploy predictive models for loss costs.
• Design and maintain feature pipelines transforming raw data into model-ready inputs.
• Collaborate with actuaries and underwriters to translate domain expertise into features.
• Develop model monitoring to track drift and calibration over time.
• Run experiments and back-tests to quantify model impact.

🎯 Requirements

• 3+ years building and deploying pricing models for auto lines.
• Familiar with actuarial concepts: loss development, exposure rating, credibility.
• Strong stats: GLMs, GBDTs, time series, Bayesian methods.
• Proficient in Python and SQL.
• Experience with feature engineering on real-world, messy data.
• Ability to explain results to both technical and non-technical audiences.

🎁 Benefits

• Premium Healthcare with full coverage
• Fertility benefits and family building support
• Unlimited PTO
• Daily meals and snacks
• SF/NYC/Dallas/Chicago/LA office presence
• Professional Development opportunities