Lead Insurance Data Scientist

Lead Insurance Data Scientist

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!

Job Overview

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.

Location: Hybrid - at least 3 days a week in one of our EPIC offices, preferably San Ramon CA but open to any of our office locations.

What You'll Do

A detailed list of job duties includes (but is not limited to):

• 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.

What You'll Bring

Required Qualifications:

• 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.

Preferred Qualifications:

• 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.

Compensation:

The national average salary for this role is $100,000.00 - $150,000.00 in base pay and exclusive of any 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.

Why EPIC

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. We offer:

• Generous Paid Time off
• 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
• Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs
• 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!
• EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation
• We're in the top 10 of property/casualty agencies according to "Insurance Journal"

EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.