Staff Data Scientist, Insurance Pricing

Job Summary

As a key contributor on the data science team, the full-time Staff Data Scientist, Insurance Pricing will set the technical direction for homeowners insurance pricing and risk modeling, focusing on complex modeling problems and collaborating with cross-functional teams in a fully remote environment.

Key responsibilities

• Set the technical vision for insurance pricing and risk modeling, establishing best practices across the team
• Architect and deploy GLM-based models and machine learning models to enhance underwriting accuracy and profitability
• Lead the integration of non-traditional data sources to inform strategic decisions and drive a culture of experimentation

Required qualifications

• 10+ years of experience in data science, specifically in insurance pricing or risk modeling
• Expertise in architecting, validating, and deploying GLM-based pricing models in production
• Proficiency in Python and SQL, with experience in implementing GLMs and gradient boosting models
• Experience with cloud-based data platforms and MLOps practices
• Master's or PhD in Statistics, Mathematics, Computer Science, or a related quantitative field preferred