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Data Science Insurance Jobs in California (NOW HIRING)

Lead Insurance Data Scientist

San Ramon, CA · On-site

$150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ... Required Qualifications • Bachelor's degree in Computer Science, Mathematics, Actuarial Science ...

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive ... Medical, Dental, Vision and Life Insurance.** * 401(k) plan with generous company matching.

Data Scientist

Irvine, CA · On-site

$95 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive ... Medical, Dental, Vision and Life Insurance. * 401(k) plan with generous company matching.

New

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive ... Medical, Dental, Vision and Life Insurance.** * 401(k) plan with generous company matching.

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive ... Medical, Dental, Vision and Life Insurance.** * 401(k) plan with generous company matching.

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Data Scientist

San Diego, CA · On-site

$125 - $144/hr

  • Medical

  • Life

  • Retirement

... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ... Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience ...

Senior Data Scientist, Fraud

Menlo Park, CA · On-site

$187 - $220/hr

  • Medical

  • Life

  • Retirement

  • PTO

About the Role The Fraud Data Science team safeguards Robinhood and its customers by detecting and ... Employer-paid life and disability insurance, fertility benefits, and mental health benefits * Time ...

Data Scientist

South San Francisco, CA · On-site

$148K - $182K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and validate data science tools for clinical research, and trial optimization. * Ensure the ... insurance, 401k match, unlimited PTO, and a number of paid holidays including winter shutdown.

Data Scientist

South San Francisco, CA · On-site

$148K - $182K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and validate data science tools for clinical research, and trial optimization. * Ensure the ... insurance, 401k match, unlimited PTO, and a number of paid holidays including winter shutdown.

Showing results 41-60

Data Science Insurance information

See California salary details

$22.5K

$106.2K

$200.3K

How much do data science insurance jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science insurance in California is $106,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,919.00 and $150,801.00 per year, depending on experience, location, and employer.

What is a data science insurance?

A Data Science Insurance job involves using data analytics, machine learning, and statistical modeling to assess risks, detect fraud, optimize pricing, and enhance customer experience in the insurance industry. Professionals in this role analyze large datasets to identify patterns and trends that help insurers make data-driven decisions. They work with actuarial teams, underwriters, and claims departments to improve risk assessment and operational efficiency. This role requires expertise in programming languages like Python or R, as well as proficiency in data visualization, predictive modeling, and big data processing.

What are the key skills and qualifications needed to thrive in data science insurance?

To thrive in Data Science Insurance, you need strong analytical skills, proficiency in statistical modeling, and a solid foundation in mathematics and insurance principles, often supported by a degree in data science or actuarial science. Experience with programming languages like Python or R, data visualization tools, and knowledge of insurance-specific software or relevant certifications like ACAS or CSPA are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills are essential for translating complex data into actionable insights for diverse teams. These competencies enable professionals to accurately assess risk, improve decision-making, and drive innovation within insurance organizations.

What are some common challenges faced by data scientists working in the insurance industry?

Data scientists in the insurance sector often encounter challenges like working with large, complex, and sometimes incomplete datasets, as well as navigating strict regulatory frameworks. Balancing the need for highly accurate predictive models with the business's risk appetite and operational constraints is a key aspect of the job. Additionally, there's a strong emphasis on explaining complex analytical findings to non-technical stakeholders such as underwriters, actuaries, or business managers. These challenges foster collaborative problem-solving and help data science professionals sharpen both their technical and communication skills in a real-world environment.

What are the most commonly searched types of Data Science Insurance jobs in California?

The most popular types of Data Science Insurance jobs in California are:

What job categories do people searching Data Science Insurance jobs in California look for?

The top searched job categories for Data Science Insurance jobs in California are:

What cities in California are hiring for Data Science Insurance jobs?

Cities in California with the most Data Science Insurance job openings:

Infographic showing various Data Science Insurance job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $106,155 per year, or $51 per hour.

Lead Insurance Data Scientist

EPIC Brokers

San Ramon, CA • On-site

$150/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

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 (for a full list, visit: https://www.epicbrokers.com/about/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
    • 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
  • 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"

To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/.
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.
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