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Role Description

The Senior Data Scientist applies advanced analytics, predictive modeling, and data science techniques to solve complex Property & Casualty (P&C) insurance business problems. This role partners closely with business and technical stakeholders to develop insights that improve pricing accuracy, underwriting performance, claims efficiency, and overall risk management.

Responsibilities

• Design, develop, and maintain predictive models, algorithms, and analytical solutions supporting pricing, underwriting, claims, and other P&C insurance functions
• Apply advanced analytics and machine learning techniques to identify trends, risks, and business opportunities
• Translate business and strategic objectives into clear analytics, reporting, and data requirements
• Analyze large, complex datasets (structured and unstructured) using SQL, Python, Spark, or similar tools
• Document, present, and explain modeling methodologies and results for business partners and regulatory review
• Identify, evaluate, and integrate internal and external data sources to meet business needs
• Collaborate with cross-functional teams to deliver practical, production-ready analytical solutions
• Promote analytics best practices and provide consultation on data-driven initiatives
• Evaluate third-party data, models, and analytical tools in partnership with vendors

Qualifications

• 6+ years of advanced analytics, data science, or predictive modeling experience
• 3+ years of Property & Casualty insurance experience (strongly preferred in commercial P&C pricing, rating, or risk-tiering models)
• Strong knowledge of P&C insurance data, data sources, and business processes
• Proficiency in Python, R, SAS, or similar statistical programming languages (experience with at least two preferred)
• Experience working with large datasets using SQL, Spark, or cloud-based data platforms
• Familiarity with MLOps and machine learning platforms such as Databricks, Snowflake, Dataiku, or similar
• Strong written and verbal communication skills with the ability to explain complex analytics to business audiences
• Self-motivated, analytical, and collaborative mindset

Education & Credentials (Preferred)

• Master’s degree or equivalent experience in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research, or a related field
• P&C insurance credentials such as ACAS, FCAS, CPCU, or CSPA

Benefits

• Medical & Prescription Insurance
• Health Savings Account
• Dental Insurance
• Vision Insurance
• Short and Long Term Disability
• Flexible Spending Accounts
• Life and Accidental Death & Disability
• Accident and Critical Illness Insurance
• Employee Assistance Program
• 401(k) Plan with Company Match
• Pet Insurance
• Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire.
• Enhanced PTO may be available for experienced candidates
• Bonus eligible based on performance