Principal Data Scientist
About The Position
Farm Bureau Financial Services is seeking an experienced Principal Data Scientist to provide technical leadership across the full analytics lifecycle, from problem definition and model development through production deployment, monitoring, and business adoption. You’ll build scalable, explainable predictive modeling, machine learning, and AI solutions supporting Property/Casualty pricing, underwriting, claims, product, client/member, distribution, and portfolio decisions. With Farm Bureau Financial Services, our client/members can feel confident knowing their family, home, cars, and other property are protected. Integrity, teamwork, passion, service, leadership, and accountability guide every decision we make. We’re proud of our more than 80-year commitment to protecting livelihoods and futures while creating an environment where employees thrive.
Requirements
- 8+ years of experience developing predictive models, machine learning, AI solutions, or production analytics systems.
- Bachelor’s degree in a quantitative field; advanced degree preferred.
- Strong Python and SQL skills with experience building production-quality analytical solutions.
- Expertise in statistical modeling, machine learning, validation, calibration, and model explainability.
- Experience with APIs, model services, and production scoring processes.
- Knowledge of software engineering and MLOps practices, including CI/CD.
- Strong communication, leadership, and mentoring skills.
Nice To Haves
- Property/Casualty insurance experience preferred.
- Experience with Databricks, Snowflake, Microsoft Fabric, or similar cloud platforms preferred.
Responsibilities
- Lead development, deployment, and monitoring of predictive models, machine learning, and AI solutions.
- Apply advanced statistical and machine learning techniques, including GLMs, GAMs, gradient boosting, ensembles, and explainable AI.
- Build production-ready Python and SQL solutions, APIs, scoring processes, and analytical tools.
- Advance MLOps practices, including testing, CI/CD, model governance, monitoring, and lifecycle management.
- Drive responsible adoption of generative AI, NLP, and intelligent automation.
- Establish standards for model development, validation, documentation, and regulatory compliance.
- Partner across business and technology teams to deliver measurable business value.
- Mentor team members and provide technical leadership for Predictive Analytics.
Benefits
- Career development opportunities
- Enhanced 401K with a match
- Low-cost health, dental and vision benefits
- Life and disability insurance
- Paid time off
- Onsite wellness facility
- Daycare center
- Cafeteria
- Hybrid work consideration
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What This Job Offers
Job Type
Full-time
Career Level
Principal
