Data Scientist

About UE

United Educators (UE) is a member-owned liability insurer serving K-12 schools, colleges and universities across the United States, with a focus on long-term partnerships. Guided by our mission to support education, we provide exceptional claims support, customized coverage and relevant risk management resources. At UE, you will join a collaborative, mission-driven team committed to delivering flexible insurance solutions, exceptional service and measurable value to our members.

The Data Scientist supports the Actuarial & Data Science Department’s mission of advancing the use of data and analytical modeling in critical company decision-making. This role performs rigorous statistical analyses, develops and validates predictive models, and builds data-driven solutions that improve business processes, insights and decision support across actuarial, underwriting and operational functions. The Data Scientist works closely with cross-functional stakeholders to translate business problems into well-reasoned analytical solutions, from exploratory analysis and feature engineering through model development, validation and deployment.

The role also contributes to emerging AI initiatives, including the practical application of generative AI tools to augment productivity and analytical workflows where appropriate. It requires a deep understanding of machine learning and statistical modeling, strong coding skills and an intellectual curiosity to stay current with a rapidly evolving technical landscape.

• Perform exploratory data analysis, data cleaning, and feature engineering to support modeling and analytical initiatives
• Develop, validate, and maintain predictive models and analytical frameworks, with a strong emphasis on model interpretability, rigor and appropriate use
• Build and maintain dashboards, reports and visualizations to communicate insights clearly and effectively
• Collaborate with actuarial, underwriting, finance, IT and business stakeholders to translate business needs into analytical solutions
• Ensure data quality, model integrity and responsible modeling practices – including documentation, validation and transparency on methodologies, assumptions and model logic
• Identify opportunities to apply generative AI and agentic tools to enhance productivity, automate workflows or support analytical work, and contribute to prototyping and evaluating those use cases
• Support integration of analytical and AI solutions into business workflows, including testing, validation and user adoption
• Contribute to best practices in data science, modeling and responsible AI use across the organization
• Stay current with developments in machine learning, data science and applied AI, and bring forward relevant opportunities with sound judgment about fit and feasibility
• Ability to independently execute projects from problem definition through deployment

• Typically requires 5 years of relevant experience with requisite competencies
• Bachelor’s degree in mathematics, statistics, data science or computer science
• Proficiency in Python and SQL required; R experience a plus
• Strong foundation in statistical theory, machine learning methods and model evaluation – including a genuine understanding of when and why to apply different approaches
• Experience with feature engineering, model validation and working with large, complex datasets
• Ability to write, read and review code critically – not just run notebooks or adapt existing scripts
• Experience with data visualization tools (e.g. Power BI)
• Familiarity with AI/GenAI tools and APIs (e.g. LLMs, prompt engineering, agentic workflows) and genuine interest in applying them practically – preferred but not required
• Strong problem-solving skills and attention to detail
• Effective communication skills, including the ability to explain technical concepts and model behavior to non-technical stakeholders
• Familiarity with cloud-based ML infrastructure, preferably Azure (e.g. Azure Machine Learning, Azure Databricks, container-based deployments or similar MLOps tooling)
• Insurance or financial services experience preferred

• Health Insurance – We offer…