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About the Role
TRUE Property Insurance is seeking a Senior Data Scientist to join their Data Science and Analytics team. This role offers an opportunity to build new capabilities, influence business decisions, and grow within a fast-moving, entrepreneurial environment. The ideal candidate will have strong experience in predictive and prescriptive analytics, excellent programming skills, and the ability to translate complex models into practical business solutions. Experience in P&C insurance, particularly homeowners insurance, is highly valued.
Responsibilities
- Lead end-to-end predictive modeling initiatives supporting pricing and rating, underwriting and eligibility, conversion, retention, and other business applications.
- Apply statistical, machine learning, and deep learning techniques to develop supervised, semi-supervised, and unsupervised models.
- Partner with Product, Actuarial, Underwriting, and business teams to translate analytical insights and model outputs into actionable business solutions.
- Collaborate with Technology teams to operationalize and implement models in production environments.
- Extract, clean, transform, and analyze data from a variety of structured and unstructured sources.
- Apply strong modeling practices across feature engineering, data transformation, imputation, model selection, validation, evaluation, and tuning.
- Develop well-organized, maintainable, and production-ready analytical code.
- Clearly communicate modeling approaches, results, limitations, and business value to both technical and non-technical stakeholders.
- Help advance TRUE's data science capabilities, tools, methodologies, and best practices.
Requirements
- 5+ years of professional data science, predictive modeling, or advanced analytics experience.
- At least 2 years operating at a Senior Data Scientist level.
- P&C insurance experience strongly preferred; homeowners insurance experience is a plus.
- Strong understanding of statistical modeling and machine learning methodologies, with demonstrated experience applying them to real-world business problems.
- Experience developing and applying Generalized Linear Models (GLMs).
- Strong experience working with large, complex datasets and preparing data for modeling.
- Solid understanding of software development and data science best practices, including code organization, reproducibility, version control, model validation, and production readiness.
- Experience with version control systems, preferably Git.
- Experience with cloud-based data science and machine learning environments; AWS and SageMaker experience preferred.
- Exposure to deep learning methodologies and applications is a plus.
- Bayesian modeling experience.
- Experimental design and causal inference experience.
- Strong command-line skills.
- Experience with NoSQL or graph databases.
- Scala or Java experience.
- Experience developing performant APIs and consuming APIs at scale.
- Experience deploying, monitoring, and maintaining machine learning models in production.
- Familiarity with modern AI-assisted development tools, including Claude Code.
- Comfortable working in an environment where priorities can evolve quickly and solutions are not always predefined.
- Ability to collaborate effectively across disciplines.
Skills
- Python
- SQL
- R (highly valued)
- AWS
- SageMaker
- Git
Experience Level
- Senior
Education Level
- Master's degree or higher in Statistics, Machine Learning, Computer Science, Applied Mathematics, Economics, Physics, or another quantitative discipline.
About the Company
- TRUE Property Insurance is a reciprocal insurer founded in 2020.
- Serves homeowners in storm-prone regions across Florida and other coastal markets throughout the United States.
- Writes HO3 business in Florida, Georgia, Texas, and South Carolina.
- Continues to expand its geographic footprint.
- Collaborates with partners to deliver tailored homeowners insurance solutions.
- Expands products, underwriting capabilities, technology, and team.