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Intern Data Science Insurance Jobs in Fairfax, VA

Data Science Consultant Location * Washington, DC Area (Hybrid) Summit is a specialized analytics ... Medical, dental, and vision insurance * Health Savings Account (HSA) options * 401(k) with 4% ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Develop solutions using modern data science, artificial intelligence, and machine learning ... insurance, and more * 401K matching with a 5% matching contribution * Regular team and company ...

New

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

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Intern Data Science Insurance information

See Fairfax, VA salary details

$12

$23

$42

How much do intern data science insurance jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for intern data science insurance in Fairfax, VA is $23.00, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $25.05 per hour, depending on experience, location, and employer.

What does an intern data science insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

What types of projects can an intern data science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.

What are the key skills and qualifications needed to thrive as an intern data science insurance, and why are they important?

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What cities near Fairfax, VA are hiring for Intern Data Science Insurance jobs?

Cities near Fairfax, VA with the most Intern Data Science Insurance job openings:

Infographic showing various Intern Data Science Insurance job openings in Fairfax, VA as of July 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,847 per year, or $23 per hour.

Data Science Consultant (Hybrid)

Summit

Washington, DC • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Data Science Consultant
Location
  • Washington, DC Area (Hybrid)

Summit is a specialized analytics firm that uses economics, statistics, and analytics to solve complex challenges for federal, state, and private-sector clients. Our work in federal infrastructure finance, transaction advisory services, evidence-based program evaluation, modernization, and enforcement and litigation analytics helps make government effective for the public good.
We are committed to fostering a collaborative workplace built on diverse perspectives, continuous learning, and trust. At Summit, you'll find an environment that empowers you to grow, contribute meaningfully, and do your best work.
We are seeking a Data Science Consultant / Senior Data Science Consultant to join our team, which partners with clients to transform complex data into actionable insights through modern analytics, machine learning, and data-driven decision support. Successful candidates will be comfortable moving between exploratory data analysis, machine learning, cloud-based ETL development, and modern software development practices to deliver production-ready analytical solutions.
Primary Duties
  • Conduct exploratory data analysis to identify trends, patterns, anomalies, and actionable insights from complex datasets.
  • Ability to translate ambiguous business or policy questions into structured analytical approaches and actionable insights.
  • Develop compelling data visualizations and communicate analytical findings through presentations, dashboards, and written summaries for technical and nontechnical audiences.
  • Apply statistical methods and machine learning techniques to solve business and policy problems, including segmentation, predictive modeling, and pattern detection.
  • Rapidly investigate emerging business questions through iterative data analysis and hypothesis testing.
  • Design scalable, repeatable analytics and data engineering workflows that support production-ready analytical solutions.
  • Mentor junior staff in data science and software development best practices.
  • Contribute to technical responses for data science proposals.

Minimum Technical Requirements
  • S. citizenship and ability to obtain a Public Trust clearance
  • 5+ years total experience in data science including data preprocessing, data visualization, statistical techniques and concepts, and data management.
  • Experience using AI-assisted development tools (e.g., GitHub Copilot) in conjunction with strong Python and/or R programming skills to accelerate data analysis, analytical workflow development, and visualization while validating results.
  • 4+ years of experience programming in Python and/or R, including the ability to review, modify, and validate code.
  • 2+ years of consulting experience with project management skills.
  • Experience developing analytical solutions in cloud environments (e.g., AWS or Azure), including data storage, ETL pipelines, and cloud-based analytics services.
  • Experience using version control (e.g., Git).
  • Bachelor's degree.

Preferred Skills
  • SQL
  • Experience with cloud-native-data platforms and services (e.g., Amazon S3, AWS Glue, Athena, Redshift, Azure Data Factory, etc.)
  • Experience deploying and maintaining code using Git-based workflows and CI/CD (e.g. GitHub Actions, GitLab pipelines, Azure DevOps)
  • Experience with machine learning techniques such as clustering, classification, or anomaly detection
  • Experience supporting data-driven decision making for government, regulatory, or policy organizations
  • Tableau

Compensation and Benefits
Full-Time Salary Range: $90,000-110,000
This range reflects our market-based pay structure. Individual compensation is determined by factors including business needs, local market conditions, internal equity, and candidate qualifications (skills, education, experience).
We support our employees' health, financial well-being, and work-life balance. Full-time employees are eligible for:
  • Medical, dental, and vision insurance
  • Health Savings Account (HSA) options
  • 401(k) with 4% employer match
  • Disability, life, and accident insurance
  • Holidays and generous paid time off, including to vote and volunteer
  • Paid parental, military, bereavement, and applicable federal/state sick leave

Our Hiring Process
If selected to move forward, you will:
  • Participate in an initial behavioral phone screen with our recruiting team.
  • Meet with staff members for a technical and collaborative interview.
  • Complete a background check (if selected for further consideration).

Work Environment
Our office is in the heart of Washington, DC's Chinatown neighborhood, with convenient access to public transportation. We operate in a hybrid model and provide an integration partner to support your onboarding and professional development.
This position may require 2-3 days per week on site with our client in Washington, DC.
How to Apply
To ensure your application is reviewed, submit your résumé directly through our website at:
Please do not email résumés.
Accessibility and Equal Opportunity
Summit is committed to accessibility for all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation or are unable to use or access our careers website, please contact us at .
Summit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected under federal, state, or local law, where applicable. Those with criminal histories will be considered in accordance with applicable state and local laws. Equal Employment Opportunity (EEO) is the law. to view information on your protections under federal law from discrimination.