Lead Insurance Data Scientist Peachtree Dunwoody Rd Bldg D Ste , Atlanta, GA

Come join our team!

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest‑growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen.

Headquartered in New York City and founded in 2007, our company has over 4,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients’ regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard‑working and growth‑minded employees.

Our core values are:
Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you’re looking for in your next career? Then consider joining our amazing team!

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.

• 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.

• 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.
• Required:
  
  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.

• 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.

The national average salary for this role is $ – $ in base pay, exclusive of bonuses or benefits. The base pay offered will be determined based on your experience, skills, training, certifications and education, while also considering internal equity and market data.

EPIC has over 60 offices and 4,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth.

• Generous Paid Time off
  • Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out…