Data Scientist – Insurance Analytics (New Grad) – Progressive Insurance
Progressive (NYSE: PGR) is the #3 auto insurance company in the US with $63B+ in annual premiums, 28+ million policies, and an extraordinary reputation for data-driven innovation in insurance pricing. Progressive invented usage-based insurance (UBI) through its Snapshot telematics program — collecting driving behavior data from 5+ million customers to personalize insurance premiums based on actual driving patterns. Progressive's actuarial data science teams are widely regarded as among the best in the insurance industry, developing complex GLMs, survival models, and ML algorithms that set price, predict claims, and identify fraud. We are hiring New Grad Data Scientists to join Progressive's industry-leading insurance analytics team.
Responsibilities
- Build generalized linear models (GLMs) and gradient boosting models predicting auto insurance claim frequency, severity, and total loss probability for Progressive's pricing actuaries
- Analyze Progressive's Snapshot telematics data (acceleration, braking, cornering, time of day) to build driving behavior risk models for usage-based insurance pricing
- Develop fraud detection models identifying suspicious claim patterns — collision staging, soft tissue injury fraud, and agent fronting schemes — from claims history and third-party data
- Build customer lifetime value models predicting policyholder retention, multi-product bundling propensity, and renewal probability for Progressive's marketing analytics team
- Develop natural language processing models extracting structured loss details from unstructured claims adjuster notes for severity prediction and litigation risk scoring
- Conduct A/B test analysis measuring the impact of rate changes, discount programs, and marketing campaigns on Progressive's loss ratio and growth metrics
Requirements
- Bachelor's or Master's degree in Statistics, Actuarial Science, Data Science, or Mathematics
- Strong statistical modeling skills — GLMs, survival analysis, regularization methods
- Python and R proficiency for model development and data analysis
- Understanding of insurance concepts (loss ratios, actuarial reserving, pricing) is a plus
- Actuarial exam progress (CAS or SOA exams) is highly valued but not required
Benefits
- Competitive salary with Progressive annual bonus and profit sharing
- Employee auto insurance discount and wellness benefits
- Medical, dental, and vision benefits
- 401(k) with Progressive matching
- Mayfield Village, OH headquarters — affordable living near Cleveland with excellent career growth