Job Summary
A company is looking for a Data Scientist II, Actuarial Research.
Key Responsibilities
- Develop statistical and machine learning models to assess the influence of pricing and business decisions on policyholder conversion and retention
- Quantify the impact of external factors like economic conditions and weather events on profitability and customer behavior
- Integrate internal business actions into profitability frameworks for accurate performance projections
Required Qualifications
- Advanced degree in a quantitative discipline (Master's or PhD preferred) with 2+ years of experience in applying advanced quantitative techniques, ideally in the insurance industry
- Strong programming skills with experience in SQL and Python
- Demonstrates ownership mentality and accountability for high-impact work
- Ability to frame functional problem statements and make informed decisions in a well-defined problem space
- Preferred: Experience with version control (Git) and cloud computing (AWS); familiarity with elasticity models and econometric techniques
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