Lead Insurance Data Scientist

EPIC Brokers • New York, NY

4h • $100,000 - $150,000 • Hybrid

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level