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Senior Actuarial Data Scientist - Texas Farm Bureau - Insurance Agents
Data Scientist
Lead advanced actuarial analytics, building predictive models and simulations to drive pricing strategy and profitability insights using Python, R, SQL, and machine learning techniques.
About the role
Key Responsibilities
- Develop and validate predictive models for pricing, reserving, and risk assessment using Python and R.
- Design and execute simulation and optimization studies to forecast growth and profitability.
- Transform and cleanse large datasets, ensuring data integrity and optimal structure for analysis.
- Collaborate with pricing, underwriting, and actuarial teams to translate analytical findings into actionable business strategies.
- Present complex insights through clear visualizations and reports to senior leadership.
Requirements
- Bachelor’s or Master’s degree in Actuarial Science, Statistics, Data Science, or related field.
- 5+ years of experience in actuarial analytics or data science within insurance.
- Proficiency in Python, R, SQL, and machine learning libraries (scikit-learn, TensorFlow).
- Strong statistical modeling, simulation, and optimization skills.
- Excellent communication skills and ability to translate technical results to non‑technical stakeholders.
Skills
pythonsqlmachine learning