Sr. P&C Data Scientist

Pricing & Insurance Analytics

Develop, refine, and maintain analytical models supporting P&C pricing, including frequency, severity, pure premium, risk segmentation, persistency, and portfolio optimization models.

Independently own pricing models translating analytical results into actionable recommendations.

Apply insurance domain knowledge (e.g., coverage, exposure, underwriting rules, regulatory considerations) in model design, development, interpretation, and business use.

Modeling & Data Science Execution

• Select and apply statistical and machine learning techniques appropriate for pricing use cases, balancing predictive performance, stability, interpretability, and regulatory considerations.
• Design and execute validation frameworks to assess model performance, stability, and business impact.
• Drive the implementation of models and analytical outputs into pricing and reporting workflows.

Data & Technical Skills

• Work independently with large, structured and semi-structured datasets using SQL and analytical programming languages (e.g., Python or R).
• Establish and uphold high standards for data quality, reproducibility, documentation, and version control.
• Follow model development best practices and model risk governance standards.

Data & Technical Skills

• Work independently with large, structured and semi-structured datasets using SQL and analytical programming languages (e.g., Python or R).
• Establish and uphold high standards for data quality, reproducibility, documentation, and version control.
• Follow model development best practices and model risk governance standards.

Business Partnership & Communication

• Serve as a trusted analytics partner to actuarial, underwriting, distribution, and product stakeholders.
• Translate technical analyses into clear, actionable insights using appropriate visualizations and written summaries.
• Influence decision-making by framing trade-offs, risks, and opportunities using data-driven narratives.
• Respond to feedback and iterate on analyses to better support business decisions.
• Present analytical findings to senior management and cross-functional leadership.

Coaching & Continuous Improvement

• Mentor and provide technical guidance to P&C Data Scientist I and II team members through code reviews, modeling discussions, and project support.
• Contribute to the development of analytical standards, best practices, and reusable modeling frameworks.
• Stay current on P&C industry trends, pricing methodologies, and analytical best practices within P&C insurance.
• Proactively identify opportunities to improve models, processes, data usage, and business outcomes within the pricing analytics function.