Underwriting Advanced Analytics & Risk Selection Specialist (CLESS)
Core
Build scalable analytic and AI solutions, perform data exploration and feature engineering, and translate complex datasets into actionable insights for underwriting and risk selection decisions.
Role type
Senior IC data scientist (insurance analytics)
Builds
Intelligent, actionable analytics and AI-driven risk selection solutions for Commercial, Excess, Surplus, and Specialty lines
Domain
Property & Casualty insurance
Deliverable
production ML models
Required skills
Databricks, SQL, Python, R, statistical distributions, hypothesis testing, predictive modeling, data wrangling, data visualization, analytic engineering
Preferred skills
P&C insurance domain knowledge, statistical modeling packages, database querying, data modeling
Technologies
Databricks, SQL, Python, R, SAS
Responsibilities
Perform hands-on data exploration, feature engineering, and model development; Build scalable analytic and AI solutions aligned with underwriting goals; Translate raw data into clear, consumable insights and visualizations; Collaborate across teams to assess business impact and deliver high-value solutions
Seniority
Senior, hands-on IC