Senior Insurance Data Scientist

Role responsibilities

Lead the development and maintenance of GLM-based pricing models and regression approaches for rate setting and performance forecasting. 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, Snowflake, Databricks, Power BI

Keywords

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