Senior P&C Data Scientist: Pricing & ML Leader

Brookfield; Omaha (NE); On-site; USD 112,000 - 160,000; Full time

Job summary

Farm Family seeks a Senior P&C Data Scientist to lead development and refinement of analytical models for pricing, underwriting, and portfolio management. You will partner with actuaries, underwriters, and IT to translate business questions into actionable analytics, implement models into pricing workflows, and monitor performance.

The role emphasizes independence, mentoring, and advancing pricing analytics maturity across products and locations, with opportunities for impact and growth in a

Qualifications

• Bachelor’s degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field.
• Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master’s degree may be considered in lieu of one to two years of experience.
• Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)
• Experience working with large, complex datasets and applying statistical or machine learning methods to real-world business problems
• Strong analytical judgment, problem-solving ability, and communication skills
• Proven ability to work independently and own complex analytical models

Responsibilities

• 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.
• Own the end-to-end analytical lifecycle for complex initiatives: data exploration, feature engineering, model building, validation, implementation, monitoring, and enhancement.
• 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.
• Work independently with large, structured and semi-structured datasets using SQL and analytical programming languages.
• Establish and uphold high standards for data quality, reproducibility, documentation, and version control.
• Follow model development best practices and model risk governance standards.
• 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.
• 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

Skills

Data science

SQL

Python

R

Analytical modeling

Education

Bachelor's degree in quantitative field

Tools

SQL

Python

R

Job description

Farm Family seeks a Senior P&C Data Scientist to lead development and refinement of analytical models for pricing, underwriting, and portfolio management. You will partner with actuaries, underwriters, and IT to translate business questions into actionable analytics, implement models into pricing workflows, and monitor performance.

The role emphasizes independence, mentoring, and advancing pricing analytics maturity across products and locations, with opportunities for impact and growth in a