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Data Science Insurance Jobs in Virginia (NOW HIRING)

$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 ...

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 ...

Data Scientist Associate

Sterling, VA · On-site

$41K - $56K/yr

Data Science and Data Engineering Job Qualifications: Skills: Artificial Intelligence (AI ... insurance are provided or available. We regularly review our Total Rewards package to ensure our ...

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 ...

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 ...

Data Scientist

Chantilly, VA · On-site

$161 - $222/hr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work ...

Data Scientist

Dahlgren, VA · On-site

$80 - $110/hr

... insurance, a generous 401(k), tuition reimbursement, and a supportive, growth‑driven work ... Minimum 3 years of experience in data science, analytics, or a related field * Knowledge of data ...

Senior Data Scientist

Arlington, VA · On-site

$104 - $150/hr

... pet insurance to ensure your furry friends are cared for too. Job Summary Castalia Systems is ... Document data science methodologies, model performance, analytical assumptions, and results to ...

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 ...

Data Scientist

Chantilly, VA · On-site

$161K - $221K/yr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work ...

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 Aug 25, 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 August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, and 4% Contract. 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 | TS/SCI with Security Clearance

Springfield, VA • On-site

Xcellent Technology Solutions
11 - 50 employees

$80K - $90K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Data Scientist - Mid Level | TS/SCI Overview Support NGA mission operations in Springfield, Virginia by applying data science and advanced analytics to GEOINT and intelligence data. This position offers the opportunity to work at the intersection of data science and GEOINT, using technologies such as Python and SQL to analyze, integrate, and exploit data in support of mission-critical intelligence requirements. As a Data Scientist, you will work with GEOINT collection data and associated systems to develop and test analytic methodologies, identify patterns and insights across complex datasets, and help transform intelligence data into actionable information. You may also work with multi-INT data and apply machine learning techniques to intelligence problems, while exploring new technologies and approaches that improve how GEOINT data is analyzed and exploited. You will work closely with Government and mission stakeholders to develop creative technical solutions to complex challenges while maintaining a high standard of accuracy and quality. If you enjoy solving complex problems, working with data, and applying emerging technologies to real-world intelligence challenges, this role offers a chance to make a meaningful impact supporting national security missions. Salary Range: $80,000 - $90,000 Requirements * Active TS/SCI clearance with willingness to undergo a CI Polygraph exam * 5+ years relevant experience supporting data science, GEOINT, intelligence analysis, or related technical mission activities * Knowledge of GEOINT collection and associated systems, with the ability to apply data science and analytic techniques to GEOINT and intelligence data in support of mission requirements * Proficiency with Python and SQL for analyzing, integrating, processing, and exploiting intelligence and geospatial data * Experience working with structured, semi-structured, and unstructured data, including the ability to develop, test, and apply analytic methodologies to support complex intelligence problems * Experience working with multi-INT data and applying data science techniques to support GEOINT analysis and intelligence mission requirements * Ability to develop and test creative technical solutions, learn new technologies, and adapt analytic methodologies to changing mission needs * Strong communication and collaboration skills with the ability to work independently with minimal oversight, effectively engage Government and mission stakeholders, and clearly communicate technical information, analytic findings, and recommendations Desired * Bachelor's degree in data science or a related field with 2+ years of relevant experience / or a Master's degree * Experience applying ML algorithms to intelligence data * Experience with JEMA or comparable data preparation and analytic tools such as ESRI ModelBuilder, Alteryx, or Tableau Prep * Proficiency with JavaScript, HTML, and CSS Apply now or send your resume directly to Antoine Thomas: [email protected] Why XTS? XTS is a veteran owned company focused on mission success and professional growth. We foster a collaborative environment and invest in our people so they can thrive while supporting critical national security missions. Benefits Include: * Flexible healthcare, dental, and vision plans * Paid time off (PTO) and 11 federal holidays * Matching 401(k) plan * Short- and long-term disability, life insurance, cancer insurance, and pet insurance * Ongoing professional development and advancement opportunities