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Data Science Internships Jobs in Virginia (NOW HIRING)

KBR

Data Engineer

Chantilly, VA

$150K - $181K/yr

Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered) * Proficiency in programming languages such as Python or R * Experience ...

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$150K - $181K/yr

Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered) * Proficiency in programming languages such as Python or R * Experience ...

Air

Data Analyst

Arlington, VA

... Science, Data Science, International Relations, Political Science, International Security or ... or internships, performing national security-related analytics; preference for research ...

Air

Data Analyst

Arlington, VA

... Science, Data Science, International Relations, Political Science, International Security or ... or internships, performing national security-related analytics; preference for research ...

Air

Data Analyst

Arlington, VA · On-site

... Science, Data Science, International Relations, Political Science, International Security or ... or internships, performing national security-related analytics; preference for research ...

Gnw

Data Analytics Intern - Summer 2027

Richmond, VA · On-site

$23 - $26/hr

Our interns will collaborate with cross-functional teams to extract, analyze, and interpret large ... Pursuing a Bachelor's degree in a mathematics, data science, statistics, operations research, or ...

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Data Science Internships information

See Virginia salary details

$20.9K

$103K

$197.4K

How much do data science internships jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science internships in Virginia is $102,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,736.00 and $149,769.00 per year, depending on experience, location, and employer.

What is a data science internship?

A Data Science Internship is a temporary position where students or recent graduates gain hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with real-world datasets, build predictive models, and assist in data-driven decision-making processes. They may use programming languages like Python or R, tools such as SQL, and visualization libraries to communicate insights. This role helps develop technical and analytical skills while providing exposure to industry practices.

What skills and qualifications are needed for data science internships?

To excel in Data Science Internships, a solid understanding of statistics, programming (often in Python or R), and data analysis is typically required, often supported by progress toward a degree in a related field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and sometimes cloud platforms or machine learning frameworks is common. Strong problem-solving abilities, attention to detail, and effective communication skills help interns succeed in team environments. These skills enable interns to analyze real-world datasets, communicate findings clearly, and contribute meaningful insights to organizational projects.

What do data science interns do?

Data Science Interns usually assist with tasks such as data cleaning and preprocessing, exploratory data analysis, developing and testing predictive models, and creating data visualizations to help teams make informed decisions. Interns often collaborate closely with data scientists, engineers, and business analysts, allowing them to contribute to larger, real-world projects while learning best practices. Daily responsibilities might also include attending team meetings, presenting results to stakeholders, and documenting their work. This hands-on experience allows interns to apply academic knowledge, build a professional portfolio, and prepare for future opportunities in the field.

What are the most commonly searched types of Data Science Internships jobs in Virginia? The most popular types of Data Science Internships jobs in Virginia are:
What are popular job titles related to Data Science Internships jobs in Virginia? For Data Science Internships jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Internships jobs in Virginia look for? The top searched job categories for Data Science Internships jobs in Virginia are:
What cities in Virginia are hiring for Data Science Internships jobs? Cities in Virginia with the most Data Science Internships job openings:
Data Science Internships jobs near you
Infographic showing various Data Science Internships job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,953 per year, or $49.5 per hour.

Data Engineer

KBR

Chantilly, VA

$150K - $181K/yr

Full-time

Re-posted 28 days ago

KBR rating

8.3

Company rating: 8.3 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

136th of 441 rated engineering

Job description

Title:

Data Engineer
The Data Scientist supports advanced analytics and data-driven decision-making for Space and Counterspace intelligence missions. This role focuses on developing models, algorithms, and analytical tools to extract insights from large, complex, and multi-source datasets related to space domain awareness and adversary capabilities. The position involves working with both structured and unstructured data to identify patterns, anomalies, and emerging threats. The Data Scientist collaborates with analysts, engineers, and mission partners to translate intelligence questions into scalable analytic solutions. This role operates in a classified environment supporting national security objectives with cutting-edge data science techniques.
Roles and Responsibilities
  • Develop and implement statistical models, machine learning algorithms, and data analysis workflows to support mission objectives
  • Analyze large, complex datasets from multiple intelligence sources to identify trends, anomalies, and actionable insights
  • Build and maintain data pipelines, data transformation processes, and analytic tools
  • Support integration of disparate data systems to enable comprehensive analysis across domains
  • Develop visualizations, dashboards, and reporting tools to communicate analytic findings
  • Apply data mining, predictive analytics, and pattern recognition techniques to space and counterspace problems
  • Collaborate with engineers and analysts to refine requirements and operationalize data science solutions
  • Document methodologies, models, and processes for reproducibility and mission continuity
  • Ensure compliance with security, data governance, and classified environment requirements
  • Perform code review and software quality testing
  • Review and utilize RESTful APIs for data access
  • Apply software design patterns, code review practices, and unit/integration testing
  • Build and maintain CI/CD pipelines for data infrastructure
  • Contribute to infrastructure-as-code (Terraform, Ansible)
Basic Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered)
  • Proficiency in programming languages such as Python or R
  • Experience with data analysis libraries and tools (e.g., Pandas, NumPy, SciPy, or similar)
  • Active Top Secret/SCI security clearance With Polygraph
  • Strong software development background (Python, R, Java)
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Familiarity with software development lifecycle (SDLC) practices
  • API design and development experience
  • Test-driven development or equivalent quality practices
Preferred Qualifications
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn)
  • Familiarity with big data platforms and tools (e.g., Hadoop, Spark, or distributed computing environments)
  • Exposure to geospatial analytics, space domain awareness, or intelligence-related datasets
  • Astrodynamics or orbital mechanics familiarity (or experience with STK)
  • Time-series analysis
  • NLP/text analytics
  • Cloud platforms (AWS GovCloud)
  • Containerization (Docker, Kubernetes)
  • CI/CD and DevSecOps experience
  • Experience with IC data environments or tools
  • Experience transitioning prototype models to operational production pipelines

Basic Compensation:

$$150,000 - $181,000

The offered rate will be based on the selected candidate's knowledge, skills, abilities, and/or experience and in consideration of internal parity.

Additional Compensation:

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels per internal policy or contractual designation. Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance

Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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About KBR

Sourced by ZipRecruiter

At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1998

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