Actuarial Data Scientist
Core
Lead loss cost modeling for homeowners insurance, designing and deploying predictive models for frequency and severity to inform pricing strategy.
Role type
Senior IC actuarial data scientist
Builds
Production-ready Python/SQL tooling and loss models for a diversified carrier platform
Domain
Insurance (Property & Casualty) + Predictive Modeling
Deliverable
production ML models
Required skills
Loss cost modeling, Statistical modeling (GLMs, regularization, tree-based ensembles), Python (pandas, scikit-learn, statsmodels), SQL, Actuarial principles
Preferred skills
Actuarial credentials (ACAS/FCAS), Catastrophe modeling, Geospatial analytics, Cloud infrastructure (Snowflake, Databricks, AWS), Workflow orchestration (Airflow)
Technologies
Python, SQL, Airflow, XGBoost, LightGBM, pandas, scikit-learn, statsmodels
Responsibilities
Lead homeowners insurance modeling efforts and set technical standards; Own the design and annual build of by-peril loss models; Expand modeling capabilities across conversion, retention, and aggregation; Implement and scale models within an Airflow-based Python pipeline; Develop reusable analytical tooling; Partner cross-functionally to translate modeling insights into business recommendations
Seniority
Senior, hands-on leader