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Data Science Insurance Jobs in Ohio (NOW HIRING)

Radiance Technologies

Data Scientist

Beavercreek, OH · On-site

Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational ... Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of ...

Radiance Technologies

Data Scientist

Beavercreek, OH · On-site

Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational ... Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of ...

Goosehead

Data Scientist

Westlake, OH

About Goosehead Since 2003, Goosehead Insurance has been disrupting the insurance industry by ... Define and drive the vision for data science at Goosehead, identifying transformative opportunities ...

Kemper

Data Scientist

Cincinnati, OH · On-site +1

... specialized insurers. Our success is a direct reflection of the talented and diverse people who ... Data Science is a driver of significant competitive advantage for Kemper and is critical to the ...

Bread Financial

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... life insurance, supplemental medical plans, and short and long-term disability) to eligible ...

Radiance Technologies, Inc.

Data Scientist

Bath, OH · On-site

$110 - $170/hr

Employee ownership * generous 401K * full health/dental/life/vision insurance benefits ... Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of ...

Bread Financial

Lead Data Scientist

Columbus, OH · On-site

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... life insurance, supplemental medical plans, and short and long-term disability) to eligible ...

Guidehouse

Epidemiologist Data Scientist

Beavercreek, OH · On-site

$80K - $133K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Munich RE

Data Scientist

Akron, OH · On-site

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

Munich RE

Data Scientist

Columbus, OH · On-site

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

Munich RE

Data Scientist

Amelia, OH · On-site

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

Munich RE

Data Scientist

Cleveland, OH · On-site

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

Munich RE

Data Scientist

Cincinnati, OH · On-site

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

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All JobsData Science Insurance JobsData Science Insurance Jobs in Ohio

Data Science Insurance information

See Ohio salary details

$21K

$99.1K

$186.9K

How much do data science insurance jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science insurance in Ohio is $99,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,534.00 and $140,774.00 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 Ohio?

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

What are popular job titles related to Data Science Insurance jobs in Ohio?

For Data Science Insurance jobs in Ohio, the most frequently searched job titles are:

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

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

Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in Ohio 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 $99,097 per year, or $47.6 per hour.

Data Scientist

Radiance Technologies

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday

Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton, OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational reimbursement, competitive salaries, interesting assignments, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
Radiance is seeking a highly qualified and motivated data scientist to support GEOINT and Multi-INT production and the continued advancement of data analytical processes and techniques at the National Air and Space Intelligence Center (NASIC). The successful candidate is someone who creatively approaches a variety of requirements to meet intelligence needs, can balance work on multiple tasks, and will work collaboratively with other scientists, engineers, and analysts.
Job Duties
  • Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of supplementary data to support intelligence production
  • Assist in developing approaches to address key intelligence questions
  • Provide leadership to the team and act as the team POC for the government

Required Skills:
  • Active Top Secret Clearance with SCI eligibility
  • Bachelor's Degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Mathematics, Geography, or other STEM field)
  • Strong analytical, inference, critical thinking, and creative problem-solving skills
  • Ability to work both independently and in a team environment
  • Strong technical writing and briefing skills

Desired Qualifications:
  • Ability to code/script, especially in Python
  • Experience with data science and visualization tools, such as dash, R Shiny, Tableau, JMP/JMP Pro, and/or similar
  • Background in machine learning/artificial intelligence
  • Experience with GEOINT data, including non-literal data
  • Expertise in Geographic Information Systems
  • Knowledge of phenomenologies relevant to GEOINT data
  • Master's or Doctoral degree

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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