Senior Insurance Data Scientist

Role responsibilities

Lead the development and maintenance of GLM-based pricing models and regression approaches for rate setting and segmentation. Own end-to-end projects from scoping to delivery while collaborating with actuarial, product, and engineering stakeholders.

Requirements

Requires a graduate degree in a quantitative field with 2+ years of experience, or 4+ years of progressive analytical experience. Must have at least one year of experience in P&C or Pet Insurance pricing and proficiency in Python and SQL.

Key skills

GLM, Python, SQL, Regression Modeling, Statistical Inference, P&C Insurance Pricing, Machine Learning, Exploratory Data Analysis, Root-Cause Analysis, Project Management, Data Manipulation, Stakeholder Communication, Mentorship, Predictive Accuracy, Risk Segmentation, Performance Forecasting

Keywords

GLM, Python, SQL, P&C Insurance, Pet Insurance, Regression Modeling, Machine Learning, Snowflake, Databricks, SQL Server, WTW Radar, Emblem, Earnix, Power BI, Data Warehousing, Statistical Inference, Rate Modeling, Segmentation, Risk Segmentation, Predictive Modeling, Actuarial Science, Data Science, Root-Cause Analysis, R&D