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Data Science Insurance Jobs in Ohio (NOW HIRING)

Sequoia Financial Group Llc

Data Scientist

Dublin, OH · On-site

Experience in financial services, banking, or insurance sectors preferred Preferred Skills/Experience * Exposure to cloud-based data science environments (e.g., Azure ML, Databricks) * Familiarity ...

AEVEX

Engineering Intern - Data Science

Dayton, OH

The selected intern will work hands-on with our Data Science team to ingest, organize, process, and ... insurance group coverage with a portion of the premiums paid by the company, professional ...

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$21K

$99.1K

$186.9K

How much do data science insurance jobs pay per year?

As of May 29, 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 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 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 May 2026, with employment types broken down into 60% Full Time, 36% Part Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $99,097 per year, or $47.6 per hour.
Principal Data Scientist - Insurance Pricing - Hybrid / REMOTE (EST)

Principal Data Scientist - Insurance Pricing - Hybrid / REMOTE (EST)

D.W. Simpson

Amelia, OH • On-site, Remote

$150/hr

Full-time

Posted 4 days ago

Job description

Job Description
Ready for a step up in compensation? A leader in the specialty insurance market has a great opportunity for a Principal Data Scientist - Insurance Pricing. This individual will drive the end-to-end development, enhancement, maintenance, & monitoring of pricing models. The ideal candidate will be an ACAS or FCAS with 6+ years of data science/predictive analytics experience in P&C insurance, a deep understanding of GLMs & GBMs, and familiarity with AI & machine learning concepts. Must be proficient in R & Python, familiar with big data platforms, and possess strong technical modeling skills. (#58369)
Compensation:
  • A salary range of $150-165K
Locations:
  • Amelia, OH - Hybrid
  • Remote in EST

Meet Your Recruiter
Arturo Aguilera
Director, Social Media & Marketing
Arturo joined DW Simpson in 2017 and is currently the Social Media Specialist. He is in charge of running and maintaining DW Simpson's social media presence, increasing brand awareness and improving marketing efforts.
Arturo attended Columbia College Chicago where he graduated with a BFA in Advertising Art Direction. He enjoys attending concerts, dive bars, and art museums.
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  • arturo.aguilera@dwsimpson.com
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About DW Simpson

Sourced by ZipRecruiter

We have offices all over the United States and place professionals globally. Our expertise includes property & casualty, life, health, pension, and increasingly non-traditional areas such as risk management, catastrophe modeling, predictive modeling, financial modeling, and data analytics. Mission Our mission is to be the premier executive recruiting firm specializing in the placement of actuaries and analytics professionals; to be recognized for the best service, integrity and forthrightness that the firm brings to each business relationship; and to be willing at all times to sacrifice short-term gain for the long-term good and prosperity of our clients, our candidates and, as a result, our organization as well. Diversity, Equity, and Inclusion Statement We are dedicated to hiring and retaining diverse talent and ensuring that we treat everyone with respect and support. We embrace diversity and strive to create conditions that provide everyone with an equal opportunity to thrive. Our employment practices will not be influenced or affected by an applicant’s or employee’s race, color, religion, gender, sexual orientation, gender identity, disability, pregnancy, national origin, marital status, genetic information, age, veteran status, or any other characteristic protected under applicable federal, state, or local laws.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Chicago, IL, US

Year founded

1989

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