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Position: Senior Data Scientist - Insurance Modeling
Institution: Pie Insurance
Location: United States
Duties: Enhance and reinvent the next generation of risk (frequency, severity, LR) and pricing models, with strong emphasis on model robustness; Working with business partners, design and build AI-ML solutions in claims, underwriting (UW), customer behaviors use-cases; Build demand elasticity models, assess the impact on key business metrics of rate changes for different subpopulations, and make recommendations on path forward; Conduct post-hoc model diagnostics and build interpretability reasons using ML methods; Monitor and evaluate the performance of various models; detect and come up with mitigation strategies for addressing performance degradation
Requirements: Bachelor’s degree in a quantitative field (Data Science, Computer Science, Statistics or other related fields) is required. A M.S. in a quantitative field is preferred; 5+ years experience as a data scientist, or actuarial modeler, building and delivering pricing and risk modeling solutions in the P&C insurance space; 3+ years experience building claims models; Experience developing territorial risk models
   
Text: Senior Data Scientist - Insurance Modeling Enhance and reinvent the next generation of risk (frequency, severity, LR) and pricing models, with strong emphasis on model robustness; Working with business partners, design and build AI-ML solutions in claims, underwriting (UW), customer behaviors use-cases; Build demand elasticity models, assess the impact on key business metrics of rate changes for different subpopulations, and make recommendations on path forward; Conduct post-hoc model diagnostics and build interpretability reasons using ML methods; Monitor and evaluate the performance of various models; detect and come up with mitigation strategies for addressing performance degradation Bachelor’s degree in a quantitative field (Data Science, Computer Science, Statistics or other related fields) is required. A M.S. in a quantitative field is preferred; 5+ years experience as a data scientist, or actuarial modeler, building and delivering pricing and risk modeling solutions in the P&C insurance space; 3+ years experience building claims models; Experience developing territorial risk models
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