Data Scientist - P&C Underwriting
Core
Design, develop, and automate predictive models for risk selection, coverage optimization, and fraud detection in Property & Casualty underwriting.
Role type
Senior IC data scientist (risk modeling & geo-spatial)
Builds
Production ML models for risk selection, coverage optimization, and fraud detection
Domain
Insurance (P&C) + Risk modeling + Geo-spatial
Deliverable
production ML models
Required skills
Python, SQL, data engineering, model development, risk modeling, geo-spatial modeling, statistical modeling, model monitoring, data analysis
Preferred skills
Machine learning, Cisco Modeling, fraud model development, model automation
Technologies
BigQuery, Hive, MySQL, PostgreSQL, Snowflake, Python, SQL
Responsibilities
Design and automate predictive models for risk and fraud; perform model risk and compliance reviews; partner with teams to integrate models into production; monitor and maintain model performance; prototype, test, and deploy ML models; analyze ambiguous data to derive insights; document model monitoring reports.
Seniority
Senior, hands-on IC