About this opportunity
United Educators lists this Data Scientist opportunity in bethesda, Maryland. Review the employer’s description below for duties, qualifications and application requirements.
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.
Role Overview
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.
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 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 or 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)
The below annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate or annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
Salary Range: $119,000 USD – $148,500 USD
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Worksite address
bethesda, MD, 20811, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.