Senior Data Scientist

Job Summary

To solve complex Property & Casualty insurance business problems, the full-time Senior Data Scientist will apply advanced analytics and predictive modeling techniques, collaborating with stakeholders to enhance pricing accuracy, underwriting performance, and claims efficiency, with options for remote or hybrid work arrangements.

Key Responsibilities

• Design, develop, and maintain predictive models and analytical solutions for pricing, underwriting, and claims functions
• Apply advanced analytics and machine learning techniques to identify trends and business opportunities
• Analyze large datasets using SQL, Python, Spark, or similar tools to support business objectives

Required Qualifications

• 6+ years of experience in advanced analytics, data science, or predictive modeling
• 3+ years of experience in Property & Casualty insurance, particularly in commercial pricing or risk-tiering models
• Proficiency in Python, R, SAS, or similar statistical programming languages
• Experience with large datasets using SQL, Spark, or cloud-based data platforms
• Master's degree or equivalent experience in a related field preferred