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Data Science Insurance Jobs in Virginia (NOW HIRING)

Requirements • 3-7 years of experience (mid-level) in data science, statistics, and data ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Data Scientist

Arlington, VA · On-site

$75K - $127K/yr

Help strengthen the client's internal data-science capability through pairing, code review ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Data Scientist

Arlington, VA · On-site

$89K - $202K/yr

This person will stay current with advances in data science techniques, evaluate new algorithms and ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

Data Scientist

Arlington, VA · On-site

$125 - $150/hr

This person will stay current with advances in data science techniques, evaluate new algorithms and ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

The analyst will function as a part of the DASH Data Science team. Will support the team in ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Data Scientist

Arlington, VA · On-site

$125 - $150/hr

This person will stay current with advances in data science techniques, evaluate new algorithms and ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

Data Scientist

Arlington, VA · On-site

$89K - $202K/yr

This person will stay current with advances in data science techniques, evaluate new algorithms and ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Employer-paid Life and Disability Insurance * Uncapped paid time off policy  * Flexible work ...

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Employer-paid Life and Disability Insurance * Uncapped paid time off policy * Flexible work ...

We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 ... They provide strategic leadership in data science projects for clients and mentor team members to ...

Provide guidance on best practices and industry standards across data science and analytics, data ... Vision insurance * Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid ...

Senior Data Scientist

Vienna, VA · On-site

$160K - $180K/yr

Provide guidance on best practices and industry standards across data science and analytics, data ... Vision insurance * Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid ...

Provide guidance on best practices and industry standards across data science and analytics, data ... Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid Federal Holidays A ...

Showing results 41-60

Data Science Insurance information

See Virginia salary details

$22.4K

$105.4K

$198.9K

How much do data science insurance jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data science insurance in Virginia is $105,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,571.00 and $149,769.00 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 Virginia?

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

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

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

Infographic showing various Data Science Insurance job openings in Virginia as of September 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $105,429 per year, or $50.7 per hour.

Mid-Level Data Scientist

Merrifield, VA • On-site

System One
Business Consulting Services • 5 - 10K employees

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

Job Title: Mid-Level Data Scientist
Location: Vienna, VA
Type: Contract
Compensation:
Hybrid – onsite and remote

Responsibilities
• Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our digital offerings.
• Partner with business units to gather requirements, understand customer needs, and develop data science solutions that address specific business challenges.
• Write efficient code in Python and SQL to manipulate and analyze data.
• Design, develop, and evaluate predictive models and algorithms with moderate to high complexity.
• Utilize traditional and machine learning techniques and tools to build a variety of models, including but not limited to logistic regression, XGBoost, neural networks, NLP, k-means clustering, ARIMA, and prophet forecasting.
• Analyze and interpret results with some complexity.
• Exercise limited judgment and discretion within defined procedures and practices.
• Develop and code modeling programs, algorithms, and automated processes.
• Use modeling and trend analysis to analyze data.
• Collaborate with team members and participate in team projects and initiatives.
• Utilize effective written and verbal communication to document and present findings.

Requirements
• 3-7 years of experience (mid-level) in data science, statistics, and data analytics.
• Ability to work with moderate to minimal supervision.
• Strong programming abilities in SQL, Python, PySpark, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis.
• Experience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering.
• Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop.
• Familiarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus.
• Technical writing skills.
• Strong communication and data storytelling presentation skills of technical material.
• Ability to collaborate and build relationships.
• Required: Bachelor’s degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields.
• Desired: Master’s degree in data science, statistics, mathematics, or degrees in similar quantitative fields.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #851-Rockville-S1


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US