Lead Insurance Data Scientist
About The Position
The Data Scientist role is a unique opportunity for actuaries and data scientists who want to apply analytical rigor to real business challenges while expanding into technology-enabled solution development. In this role, you will help shape client-facing and operational analytics that drive smarter decisions across the organization. Join our Enterprise Data & Analytics team and play a central role in advancing data analysis, visualization, and innovation across our Property & Casualty and Employee Benefits businesses. You will work hands-on to build, validate, and operationalize analyses, dashboards, and analytics applications across EPIC’s commercial lines and benefits portfolio. Working within a lean, high-impact team, you will collaborate closely with solution engineers and business stakeholders to bring analytics into production on the Azure Databricks platform.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Actuarial Science, Finance, Insurance, or a related field, or an equivalent combination of education and experience.
- Proficiency with analytical tools and platforms such as Python, SQL, Excel, Tableau, Power BI, or Databricks.
- Experience working with relational databases and applying core data analysis techniques.
- At least 3 years of experience in a data analyst, data science, or comparable analytical role while in an insurance brokerage environment.
- Strong organizational skills with the ability to manage multiple priorities in a self-directed environment.
- Excellent verbal and written communication skills, with the ability to work effectively across functions.
- Demonstrated problem-solving ability and sound analytical judgment.
Nice To Haves
- Experience in the insurance industry or broader financial services sector.
- Strong intellectual curiosity, a proactive approach to problem-solving, and exceptional attention to detail.
- Familiarity with hypothesis testing and other statistical evaluation techniques.
Responsibilities
- Collect, integrate, cleanse, and manage data from a variety of insurance-related sources.
- Perform exploratory data analysis to identify trends, patterns, and actionable insights within complex datasets.
- Develop analytical solutions and process efficiencies using statistical methods, database technologies, and programming tools.
- Create dashboards, visualizations, and reporting assets that communicate insights clearly to business stakeholders.
- Prototype new ideas, support statistical research, and apply data science techniques to address recurring business and data quality challenges.
Benefits
- Generous Paid Time off
- Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days
- Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
- Generous employee referral bonus program of $1,500 per hired referral
- Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!)
- Employee Resource Groups: Women’s Coalition, EPIC Veterans Group
- Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development
- Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support
- 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
