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Data Science Insurance Jobs (NOW HIRING)

Chewy

AD, Data Science

Bellevue, WA · On-site +1

$189.68K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Chewy

AD, Data Science

Bellevue, WA · On-site

$189.68K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Boeing

Data Scientist (Data Science)

Seattle, WA · On-site

Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Boeing

Data Scientist (Data Science)

Seattle, WA · On-site

Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Boeing

Data Scientist (Data Science)

Arlington, VA

Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Boeing

Data Scientist (Data Science)

Arlington, VA · On-site

Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Boeing

Data Scientist (Data Science)

Seattle, WA

Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Omnicom Media US PHD

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k) ...

Omnicom Media US PHD

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k) ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... insurance - Dependent care and commuter spending accounts - Life and accident insurance ...

Gartner

Director, Data Science

Irving, TX · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

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Data Science Insurance information

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$23K

$108.4K

$204.5K

How much do data science insurance jobs pay per year?

As of May 29, 2026, the average yearly pay for data science insurance in the United States is $108,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a Data Science Insurance job?

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 the Data Science Insurance position, and why are they important?

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.
More about Data Science Insurance jobs
What cities are hiring for Data Science Insurance jobs? Cities with the most Data Science Insurance job openings:
What are the most commonly searched types of Data Science Insurance jobs? The most popular types of Data Science Insurance jobs are:
What states have the most Data Science Insurance jobs? States with the most job openings for Data Science Insurance jobs include:
What job categories do people searching Data Science Insurance jobs look for? The top searched job categories for Data Science Insurance jobs are:
Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $108,406 per year, or $52.1 per hour.
Actuarial Data Scientist - Remote

Actuarial Data Scientist - Remote

Mutual of Omaha

Omaha, NE • On-site, Remote

Other

Retirement, PTO

Posted yesterday

Mutual Of Omaha rating

8.6

Company rating: 8.6 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

73rd of 259 rated insurance

Job description

Actuarial Data Scientist - Remote

Apply now Job no: 504831
Work type: Full Time Regular
Location: Remote
Categories: Information Technology

Position Summary:

We are seeking an innovative and analytical Actuarial Data Scientist to join our team. This role combines actuarial expertise, statistical modeling, and advanced data science techniques to improve pricing, forecasting, risk assessment, and business decision-making. The ideal candidate is comfortable working with large datasets, building predictive models, and translating complex analytics into actionable insights.

WHAT WE CAN OFFER YOU:

  • $100,000 to $130,000, eligible for annual bonus, as applicable.
  • 401(k) plan with a 2% company contribution and 6% company match.
  • Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
  • Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

WHAT YOU'LL DO:

  • Develop and maintain predictive models for pricing, reserving, underwriting, and risk management
  • Analyze large structured and unstructured datasets to identify trends and business opportunities
  • Apply machine learning and statistical techniques to improve forecasting accuracy
  • Collaborate with actuarial, finance, underwriting, and product teams on strategic initiatives
  • Design and automate reporting and analytical processes
  • Support regulatory and financial reporting requirements
  • Perform experience studies, scenario analyses, and profitability assessments
  • Communicate technical findings to both technical and non-technical stakeholders
  • Continuously evaluate emerging technologies and modeling approaches

WHAT YOU'LL BRING:

  • Bachelor's degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, or related field
  • 3+ years of experience in actuarial analytics, data science, insurance analytics, or related field
  • Strong proficiency in Python, and SQL, technical experience.
  • Experience with predictive modeling and statistical analysis
  • Knowledge of insurance products, actuarial principles, and risk modeling
  • Excellent problem-solving and communication skills

Preferred

  • Experience with version control and collaborative development workflows (e.g., Git/GitHub) using modern development environments such as Visual Studio Code.
  • Familiarity with Continuous Integration and Continuous Deployment (CI/CD) pipelines
  • Experience with machine learning frameworks and cloud platforms
  • Strong proficiency in Python, and SQL, technical experience
  • Familiarity with Tableau, Power BI, or other visualization tools

Why Join Us?

  • Here, your skills spark progress. You'll solve meaningful problems, collaborate with passionate teammates, and grow in a space where innovation is the norm-not the exception.
  • We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 
  • If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.
  • Stay Safe from Job Scams
    Mutual of Omaha only accepts applications from mutualofomaha.com/careers. Legitimate communications will come from '@mutualofomaha.com.' We never request sensitive information or extend job offers without conducting interviews. For more details, check our Hiring FAQs. Stay alert for scams and apply securely!
  • Fair Chance Notices
  • #mutualofomaha

Advertised: May 27, 2026 09:00 AM Central Daylight Time
Applications close:

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