Sr. Actuarial Data Scientist

📋 Description

• Lead price elasticity curves to forecast retention and conversion.
• Forecast policyholder retention and conversion from pricing and ops.
• Advance risk segmentation with GLMs in R or Python.
• Build tools to monitor rating plan performance over time.
• SQL data extraction from large vet bill data.
• Quantify pricing impact of coverage and product changes.

🎯 Requirements

• FCAS designation required (or career ACAS).
• 7+ years actuarial or data science in P&C/Health.
• 4+ years ratemaking or pricing modeling.
• Advanced SQL knowledge required.
• Strong knowledge of R and/or Python.
• Advanced GLMs knowledge; Excel intermediate.

🎁 Benefits

• Medical, dental, and vision coverage.
• HSAs and FSAs are available.
• Generous 401(k) match.
• 20 days PTO with rollover; max 30 days.
• Paid holidays, including a floating holiday.
• Pet insurance discount up to 50%.