Actuarial Data Scientist
New
F
FetchPet Insurance
Remote (U.S.)Full-TimeMiddle
Salary$150,000 - $160,000
Apply NowOpens the employer's application page
Job Details
- Experience
- At least 5 years of experience working in an actuarial or data science P&C and/or Health insurance role
- Required Skills
- PythonSQLMicrosoft ExcelR
Requirements
- ACAS designation required (or ASA working in health insurance).
- At least 5 years of experience working in an actuarial or data science P&C and/or Health insurance role.
- At least 2 years of experience in an actuarial ratemaking and/or pricing modeling role.
- Advanced knowledge of SQL.
- Strong knowledge of R and/or Python.
- Intermediate knowledge of Excel.
- Advanced knowledge of generalized linear models (GLMs).
- Ability to review and evaluate data for quality, completeness, and reasonability.
- Excellent verbal, interpersonal and written communication skills.
- Comfortable or willingness to learn AI-assisted coding tools (e.g., Claude, GitHub Copilot, Gemini).
Responsibilities
- Develop price elasticity curves to forecast the impact of rating changes on policyholder retention and conversion.
- Forecast policyholder retention and conversion based on pricing, operational changes, and business initiatives.
- Improve risk segmentation by developing GLM-based rating factors using R or Python.
- Build and maintain tools to monitor the performance of existing rating plans, including loss ratio and lifetime value.
- Write advanced SQL procedures to analyze large veterinary bill databases.
- Evaluate the pricing viability and enterprise risk of new product and coverage proposals.
- Support rate filing work, including the development of filings and responses to regulatory objections.
- Communicate complex actuarial concepts to non-actuarial cross-functional stakeholders.
View Full Description & ApplyYou'll be redirected to the employer's site