Lead Insurance Data Scientist

EPIC Insurance Brokers & Consultants; Chicago (IL); Hybrid; USD 100,000 - 150,000; Full time

Benefits offered by this job

Generous Paid Time Off

401(k) matching

Employee referral bonus of $1,500

Pet Insurance

Wellness programs

Job summary

EPIC Insurance Brokers & Consultants in Chicago is looking for a Data Scientist to apply analytical rigor to business challenges. This role involves managing data from various insurance sources and developing insights for decision makers. The ideal candidate will have over 3 years of experience in a data-related role, proficient in tools such as Python and SQL. The position offers a hybrid work model and a competitive salary.

With a commitment to innovation and diversity, EPIC offers generous paid time off, parental leave, and multiple unique benefits including pet insurance and wellness programs.

Qualifications

• 3+ years of experience in a data analyst or data science role.
• Strong organizational skills and ability to manage multiple priorities.
• Excellent verbal and written communication skills.

Responsibilities

• Collect, integrate, cleanse, and manage data from various sources.
• Conduct exploratory data analysis to identify trends and insights.
• Develop analytical solutions using statistical methods and programming.

Skills

Python

SQL

Excel

Tableau

Power BI

Databricks

Education

Bachelor’s degree in Computer Science, Mathematics, Actuarial Science, Finance, or related field

Job description

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.

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 (for a full list, https://www.epicbrokers.com/about/locations/).

WHAT YOU'LL DO

• 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.
• 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 experience, skills, training, certifications and education, while also considering internal equity and market data.

WHY EPIC

• 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.
• 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.
• Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support.
• Additional benefits include 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.
• 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.

California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf.

Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.