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Data Science Insurance Jobs (NOW HIRING)

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting ... About Epistemix The most consequential decisions in public health, life sciences, insurance, and ...

Group Life Insurance * EAP through AllOne Health (formerly Carebridge) What You'll Do Leadership & Strategy * Own the end-to-end data science roadmap across Consumer, Delivery, and Ads - translating ...

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ... Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company ...

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ... Health insurance coverage for you and your dependents * 401K, FSA, and commuter benefits * $150 ...

(USA) Director, Data Science

Noel, MO ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Lowell, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Bella Vista, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Pea Ridge, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Decatur, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Centerton, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Greenland, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Bentonville, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Gravette, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Anderson, MO ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Goshen, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Rogers, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Johnson, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Farmington, AR ยท On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Data Science Analyst

New York, NY ยท On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ... Health insurance coverage for you and your dependents * 401K, FSA, and commuter benefits * $150 ...

Data Science Analyst

San Francisco, CA ยท On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ... Health insurance coverage for you and your dependents * 401K, FSA, and commuter benefits * $150 ...

Showing results 41-60

Data Science Insurance information

See salary details

$23K

$108.4K

$204.5K

How much do data science insurance jobs pay per year?

As of Sep 8, 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?

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.

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 other helpful pages are available for Data Science Insurance?

Other pages related to Data Science Insurance:

Infographic showing various Data Science Insurance job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $108,406 per year, or $52.1 per hour.

Data Scientist

Pittsburgh, PA โ€ข Remote

Epistemix
Software Developmentย โ€ขย 11 - 50 employees

Full-time

Medical, Retirement

Re-posted 4 days ago


Job description

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers.

About Epistemix

The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was.

We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible.

Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.

Responsibilities

Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact

  • Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making

  • Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases

  • Provide guidance for proposals on feasibility of scope and how to ensure impact

  • Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform

  • Engage with customer users to provide informal support, tips, and troubleshooting

  • Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans

  • Participate in reviews with customers to document and improve measurable impact

  • Provide feedback to Product and Sales teams to align offerings with customer needs

  • Follow advancements in data science, machine learning, and healthcare analytics

Qualifications
  • Commitment to understanding customer needs and helping them achieve goals

  • Creative mindset with a passion for tackling challenging problems with data

  • Ability to collaborate with diverse users and internal teams

  • Strong communication skills: verbal, code, visualizations, and maps

  • Strong foundation in machine learning, data modeling, and predictive analytics

  • Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred

  • Comfort working in a dynamic environment with evolving priorities and customer needs

  • Proficiency in Python and associated data science technologies

  • Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools

  • Expertise in SQL or NoSQL databases preferred

  • 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience)

  • Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field

  • Experience with more than one company size or business stage preferred

  • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.

Why Join Epistemix?

By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include:

  • Equity & Incentives – Participation in our stock option program.

  • Flexible Time Off – Autonomy to manage your schedule and work-life balance.

  • Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).

  • Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.

This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.