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machine learning data science ai actuarial car pricing📋 Description
- Own and evolve Lemonade Car pricing components with analytical rigor.
- Identify high-leverage opportunities across rating, underwriting, segmentation.
- Build and improve Car pricing models using actuarial methods, ML, and AI.
- Partner with Data Science, Product, Eng, Finance, Growth to scale pricing.
- Translate pricing problems into product and platform requirements.
- Define and track metrics: loss ratio, rate adequacy, conversion.
🎯 Requirements
- 8+ years in car insurance pricing, actuarial/science, or related field.
- Proven track record solving pricing, underwriting, segmentation, or risk-management problems.
- Strong analytical instincts; find signal in data and decide under uncertainty.
- Hands-on fluency with modern analytics tools and AI-enabled workflows.
- Strong understanding of car pricing fundamentals: rating plans, loss costs, rate adequacy.
- Familiarity with predictive modeling: GLMs, gradient boosting, RFs.
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