Senior P&C Actuarial Data Science RoleActuarial data-science crossoverCloser to a data-science crossover than a conventional modelling IC—the models must be deployed in production workflows and scaled across the team.Senior P&C actuarial data science role in the San Francisco Bay Area, focused on homeowners pricing and predictive modeling. You'll own frequency, severity, demand, retention, and aggregation models, then deploy them through Python and SQL workflows.
The role reports to the Director, Actuarial and is flexible/hybrid, with other hubs in Texas and New Jersey.RequirementsMust have:Bachelor's degree in statistics, mathematics, data science, or other quantitative field5+ years of experience in data science, analytics, or actuarial modeling in insuranceWorking knowledge of P&C insurance in loss cost modelingExposure to demand, underwriting, and/or claims modelingStrong background in statistical modeling: GLMs, regularization, tree-based ensembles (XGBoost, LightGBM), and model validationKnowledge of actuarial principles as they relate to insurance pricingAdvanced proficiency in Python (pandas, scikit-learn, statsmodels) and SQLExcellent communication skills and ability to build trust with stakeholders at all levelsStrongly preferred:Personal lines or property insurance experienceNice to have:Advanced degree (Master's) in quantitative disciplineActuarial credentials - ACAS/FCASExperience with modern data platforms, cloud infrastructure (AWS), and workflow orchestration (Airflow)Experience with catastrophe modeling, geospatial modeling, or climate analytics dataTools Power_BI Tableau Excel Domain Homeowners Personal_Lines
Actuarial Data Scientist in san jose at Unknown Company
This position is listed as full time and hybrid.