Sr P&C Data Scientist

Argo Group and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly owned subsidiaries of Brookfield Wealth Solutions, a leading provider of wealth and insurance solutions. Argo and Farm Family partner with agents and brokers to help businesses stay in business, delivering collaborative insurance solutions for niche markets.Job Description Purpose of the Role 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 lessexperienced 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 modelsIndependently own pricing models translating analytical results into actionable recommendationsApply insurance domain knowledge (e.g., coverage, exposure, underwriting rules, regulatory considerations) in model design, development, interpretation, and business useModeling & Data Science Execution Own the endtoend analytical lifecycle for complex initiatives: data exploration, feature engineering, model building, validation, implementation, monitoring, and enhancementSelect and apply statistical and machine learning techniques appropriate for pricing use cases, balancing predictive performance, stability, interpretability, and regulatory considerationsDesign and execute validation frameworks to assess model performance, stability, and business impactDrive the implementation of models and analytical outputs into pricing and reporting workflowsData & Technical Skills Work independently with large, structured and semistructured datasets using SQL and analytical programming languages (e.g., Python or R)Establish and uphold high standards for data quality, reproducibility, documentation, and version controlFollow model development best practices and model risk governance standardsBusiness Partnership & Communication Serve as a trusted analytics partner to actuarial, underwriting, distribution, and product stakeholdersTranslate technical analyses into clear, actionable insights using appropriate visualizations and written summariesInfluence decisionmaking by framing tradeoffs, risks, and opportunities using datadriven narrativesRespond to feedback and iterate on analyses to better support business decisionsPresent analytical findings to senior management and crossfunctional leadershipCoaching & Continuous Improvement Mentor and provide technical guidance to P&C Data Scientist I and II team members through code reviews, modeling discussions, and project supportContribute to the development of analytical standards, best practices, and reusable modeling frameworksStay current on P&C industry trends, pricing methodologies, and analytical best practices within P&C insuranceProactively identify opportunities to improve models, processes, data usage, and business outcomes within the pricing analytics functionRequired Qualifications Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative fieldFive 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 experienceAdvanced 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 realworld business problemsStrong analytical judgment, problemsolving ability, and communication skillsProven ability to work independently and own complex analytical modelsPreferred Qualifications Significant experience in Property & Casualty insurance, particularly pricing, ratemaking, underwriting analytics, or actuarial supportFamiliarity with several predictive modeling techniques (e.g., GLMs, treebased models, gradient boosting)Familiarity with regulatory and governance considerations related to pricing and underwritingExperience implementing and monitoring models in production or business workflowsExperience mentoring and reviewing the work of junior coworkersJob Level Job Family: P&C Data ScientistLevel:Senior P&C Data ScientistCareer Path: P&C Data Scientist IP&C Data Scientist IISenior P&C Data ScientistLead P&C Data ScientistThe base salary range is $92,000 - $150,000 (based on experience and location). We're proud to offer a range of competitive and comprehensive benefits packages. 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. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to ourHR Privacy Notice 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.