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Intern Data Science Insurance Jobs in Virginia (NOW HIRING)

System One Holdings, LLC

Data Scientist

Mclean, VA · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

The ideal candidate will bring deep expertise in data science methodologies, software integration ... We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Bachelor's degree in Computer Science, Mathematics, or relevant field and 5+ years relevant ... Company-paid short-term disability, long-term disability, and life insurance. Powered by JazzHR ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

The ideal candidate will bring deep expertise in data science methodologies, software integration ... We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays. Apply Now Refer to a ...

GeoYeti

Data Scientist

Reston, VA · Hybrid

$130K - $165K/yr

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance ...

GeoYeti

Data Scientist

Reston, VA · On-site

$130K - $165K/yr

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance ...

GeoYeti

Data Scientist

Reston, VA · Hybrid

$130K - $165K/yr

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance ...

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All JobsIntern Data Science Insurance JobsIntern Data Science Insurance Jobs in Virginia

Intern Data Science Insurance information

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 are the key skills and qualifications needed to thrive as an Intern Data Science in 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 types of projects can an Intern in 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 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 Intern Data Science Insurance jobs in Virginia? For Intern Data Science Insurance jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Intern Data Science Insurance jobs in Virginia look for? The top searched job categories for Intern Data Science Insurance jobs in Virginia are:
What cities in Virginia are hiring for Intern Data Science Insurance jobs? Cities in Virginia with the most Intern Data Science Insurance job openings:
Intern Data Science Insurance jobs near you
Infographic showing various Intern Data Science Insurance job openings in Virginia as of July 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution.
Data Scientist

Data Scientist

System One Holdings, LLC

Mclean, VA • On-site

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago

Job description

Job Title: Data Scientist
Location: McLean, VA
Type: Contract To Hire
Compensation: Not specified
Work Model: Remote
Hours: 40.0
Clearance: Must be eligible to obtain a US Public Trust
Contact: Crystal.dinnocenti@systemone.com
RESPONSIBILITIES
  • Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
  • Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
  • Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
  • Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.
  • Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
  • Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.
  • Support development of analytics, reporting, and dashboards to drive operational insights and decision-making.
  • Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders.
  • Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities.

REQUIREMENTS
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • A minimum of 4 years of experience in data science, machine learning, or applied analytics roles.
  • U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
  • Experience developing and applying machine learning models, including: Natural Language Processing (NLP), Semantic search or information retrieval, Entity resolution or relationship modeling.
  • Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images).
  • Experience leveraging metadata and extracted features to support analytics and modeling.
  • Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills.
  • Experience working with Databricks and/or Spark-based environments for scalable data processing.
  • Familiarity with AWS cloud services for data access, processing, or model deployment.
  • Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets.
  • Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms).
  • Understanding of model evaluation, validation, and performance metrics.
  • Strong communication skills and ability to translate analytical outputs into actionable insights.
  • Experience working in cross-functional, matrixed teams in an Agile environment.

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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