Data Scientist

Data Scientist United Educators - 3.3 Bethesda, MD Job Details $119,000 - $148,500 a year 1 hour ago Benefits Profit sharing Health savings account Paid holidays Disability insurance Health insurance Dental insurance Paid time off Vision insurance Life insurance Qualifications Data visualization software proficiency Software coding Prompt engineering SQL Business intelligence tools Machine intelligence Bachelor's degree Model evaluation Python Feature engineering Cross-functional communication Providing code feedback Database software proficiency Full Job Description

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 is responsible for performing rigorous statistical analyses, developing and validating predictive models, and building 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. This role requires someone who understands both the how and why of machine learning and statistical modeling, not just the application of tools, but the underlying theory, tradeoffs, and limitations. Strong coding skills and the intellectual curiosity to stay current with a rapidly evolving technical landscape are essential.

Responsibilities:

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

Requirements:

Typically requires 5 years of relevant experience with requisite competencies Bachelor's degree in relevant field (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

Benefits:

Health Insurance — We offer subsidized plan options with an optional pre-tax Health Savings Account (HSA), including an annual employer contribution and investment options. The plans offer a prescription benefit and telehealth Dental Insurance — Two plan levels are available, depending on needs Vision Insurance —We offer in- and out-of-network options; Lasik discounts are available. 401(k) — UE makes a 3% safe harbor non-elective contribution beginning the first of the month after date of hire; these funds are vested immediately. After one year of service, employees receive a 7% profit sharing non-elective contribution, as well as become eligible for a matched contribution of 25% of the first 5% employee deferral. Employees can make pre-tax contributions or taxed (Roth) salary reductions. Catch-up contributions for employees 50 years old and over. Employer contributions are fully vested immediately Life Insurance — UE pays for Basic Life Insurance, and employees have the option to apply for additional Voluntary coverage Short- and Long-Term Disability Insurance — We offer coverage in the event employees are unable to work for a period of time For the first two years of employment, employees accrue PTO at 24 days per year. At the beginning of the third year of service, employees accrue 30 days per year of PTO 11 paid holidays annually including Juneteenth and an employee choice floating holiday Bonus eligibility is based on salary earned and performance for the year Hybrid environment - employees are typically in the office 2-3 days per week after the initial training period Inclusive and supportive culture that embraces diversity and provides opportunities for all to succeed Monthly lunches and various social events throughout the year Opportunities to join the Social Committee, Employee Resource Groups (ERGs), and Inclusion, Diversity, and Equity Alliance (IDEA)