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Data Science Insurance Jobs in Virginia (NOW HIRING)

Senior Data Scientist

Arlington, VA · On-site

$100K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

TPS teams are bringing automation and data science into areas of the government that are crying out ... Supplemental Insurance * Paid time off (PTO) * 11 paid holidays * 401(k) Retirement Plan

Senior Data Scientist

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Senior Data Scientist

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Data Scientist with Security Clearance

Alexandria, VA · On-site

$105K - $125K/yr

  • Medical

  • Life

  • Retirement

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 ...

$120K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

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 ...

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 ...

Senior Data Scientist

Vienna, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Managing Consultant Data Scientist

Arlington, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

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

Dahlgren, VA · On-site

$80 - $110/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... 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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Managing Consultant Data Scientist

Arlington, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

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 ...

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 19, 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.

Senior Data Scientist

Tripoint Solutions LLC

Arlington, VA • On-site

$100K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Job description

About Company:

About Tripoint Solutions

We are technology innovators, partnered with state-of-the-art providers, such as AWS, ServiceNow, and UiPath, to drive digital transformation in the federal space. TPS teams are bringing automation and data science into areas of the government that are crying out for fresh tech—making positive impacts felt by tens of thousands of users, countless citizens, and all six branches of the military each day. Our Agile teams are responsible for envisioning, launching, and operating the massive data systems and analytics platforms used to manage $14.5B in government procurements and $200B in military real estate assets globally. At TPS, we apply the power of cloud technologies to help the government think smarter and function better—for everyone.

TPS Company Values

  • We value and respect each employee's dedicated work and unique contributions as they directly impact who we are and what we do.
  • Your talent and innovative thinking bring leading-edge solutions to our customers.
  • Our success is driven by the dedication of our employees.
  • Employee-generated solutions have sustained our continued success and customer satisfaction

Benefit Offerings

Tripoint Solutions builds flexibility into health benefit plan choices, covers most of the monthly premiums, and helps employees build a career with impact through our generous professional development program.

We offer all full-time employees:

  • Medical, Dental, Vision benefits with a national provider network
  • Flexible Spending and Health Savings Accounts (FSA & HSA)
  • Company-paid Life and Disability insurance including Short-Term, Long-Term, and Accidental
  • Supplemental Insurance
  • Paid time off (PTO)
  • 11 paid holidays
  • 401(k) Retirement Plan
  • Professional Development Reimbursement Program to pursue undergraduate, graduate, training, and certifications
  • Monthly transportation, parking, and cell phone service reimbursement


Tripoint Solutions is an Equal Opportunity Employer/Veterans/Disabled

About the Role:

We are seeking an experienced Senior Data Scientist to support an upcoming federal contract. The successful candidate will lead the design and implementation of advanced analytics, artificial intelligence (AI), and cloud-based data solutions that support enterprise applications serving millions of users annually.

This position requires expertise in data science, AI architecture, cloud data platforms, and the Software Development Life Cycle (SDLC). The ideal candidate will transform complex data into actionable insights while developing scalable, secure, and high-performing analytical solutions.

Location: Washington, DC Metropolitan Area (Candidates must reside in D.C., Virginia, or Maryland) – Hybrid: On-site 1 day per week

Clearance Requirements:

  • Applicants selected may be subject to a government security investigation.
  • USA Citizenship is required.

Responsibilities:

  • Develop, validate, and deploy predictive models and machine learning algorithms to address business challenges.
  • Develop AI-enabled solutions, including Retrieval-Augmented Generation (RAG), vector database, and graph database architectures.
  • Design and optimize enterprise data architectures supporting AI and machine learning applications.
  • Build and maintain scalable data pipelines using Databricks and Microsoft Azure data services.
  • Develop interactive dashboards, reports, and visualizations using tools such as Power BI or Tableau.
  • Apply statistical analysis, predictive analytics, machine learning, and Generative AI techniques to solve complex business challenges.
  • Support all phases of the Software Development Life Cycle (SDLC), including requirements analysis, development, integration, testing, quality assurance, deployment, and production support.
  • Ensure data quality, system performance, and compliance with security and data governance requirements.
  • Collaborate with cross-functional technical teams and Government stakeholders to deliver innovative, high-quality solutions.
  • Evaluate emerging technologies and recommend improvements that enhance operational efficiency and analytical capabilities.
  • Communicate complex analytical results and insights effectively to both technical and non-technical audiences.
  • Stay current with emerging data science techniques, tools, and industry trends to continuously enhance capabilities.

Minimum Qualifications:

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science or a closely related analytical role.
  • Hands-on experience with Databricks.
  • Experience with Microsoft Azure data services and cloud-based analytics platforms.
  • Practical experience designing AI data architectures, including Retrieval-Augmented Generation (RAG), vector databases, and graph databases.
  • Experience developing dashboards and visualizations using Power BI, Tableau, or similar business intelligence tools.
  • Experience supporting Software Development Life Cycle (SDLC) activities, including testing and quality assurance.
  • Proficiency with SQL and one or more programming languages such as Python, R, or Scala.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Excellent communication skills with the ability to explain complex concepts clearly.

Preferred Qualifications:

  • Master's degree in Data Science, Computer Science, Artificial Intelligence, Analytics, or a related discipline.
  • Experience supporting Federal Government IT programs or enterprise-scale systems.
  • Experience implementing Generative AI or large language model (LLM) solutions.
  • Experience with Azure AI Services, Azure Machine Learning, Azure Synapse Analytics, Azure Data Factory, or Azure Databricks.
  • Familiarity with DevSecOps, CI/CD pipelines, and automated testing frameworks.
  • Microsoft Azure, Databricks, or related cloud certifications.