Job description

Company Farm Family Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage. Farm Family is a leader in serving the Northeast and Mid-Atlantic markets and is pursuing growth across the U.S. The Farm Family entities are wholly-owned subsidiaries of Clearbrook Group Holdings Inc. Job Description The Senior P&C Data Scientist owns the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies statistical, machine learning, and data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations. Operating with a high level of independence and accountability, the role partners closely with pricing actuaries, underwriting, claims, distribution, product, and IT professionals to translate business questions into analytical solutions, implement models into pricing workflows, and monitor performance over time. The Senior P&C Data Scientist also mentors less‑experienced team members and contributes to the continued maturation of the pricing analytics function. Key Responsibilities 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 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 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 Required 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 Preferred Qualifications Significant experience in Property & Casualty insurance, particularly pricing, ratemaking, underwriting analytics, or actuarial support Familiarity with several predictive modeling techniques (e.g., GLMs, tree‑based models, gradient boosting) Familiarity with regulatory and governance considerations related to pricing and underwriting Experience implementing and monitoring models in production or business workflows Experience mentoring and reviewing the work of junior coworkers Job Level The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package. Albany & Chicago Pay Range $102,000 - $152,000 Los Angeles & New York City Pay Range $112,000 - $160,000 PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400. Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program—including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities. Core Values At Clearbrook our Core Values are Integrity, Collaboration, Pursuit of Excellence and Forward Thinking. These values reflect who we are today and who we apsire to be - guiding how we work, how we lead and how we succeed.

Requirements

Must-haves

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
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
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

Nice-to-haves

Significant experience in Property & Casualty insurance, particularly pricing, ratemaking, underwriting analytics, or actuarial support
Familiarity with several predictive modeling techniques (e.g., GLMs, tree‑based models, gradient boosting)
Familiarity with regulatory and governance considerations related to pricing and underwriting
Experience implementing and monitoring models in production or business workflows
Experience mentoring and reviewing the work of junior coworkers

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningsqlpython

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Professional Development