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Internship Data Scientist Graduate Jobs in Virginia

Data Scientist

Arlington, VA · On-site

$69K - $125K/yr

... graduate degree including certificate-based advanced training courses * 4+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive ...

$49K/yr

... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

Data Scientist, Junior

Mclean, VA · On-site

$62K - $141K/yr

Data Scientist, Junior The Opportunity: Are you excited at the prospect of unlocking the secrets ... internship environments * Experience using R, Perl, Python, SAS, or SPSS for data analysis

Senior Data Scientist

Arlington, VA · On-site

$100K - $175K/yr

Professional Development Reimbursement Program to pursue undergraduate, graduate, training, and ... We are seeking an experienced Senior Data Scientist to support an upcoming federal contract. The ...

Senior Data Scientist

Alexandria, VA · Hybrid

$131K - $237K/yr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.

Associate Data Scientist

Arlington, VA · On-site +1

$67K - $68K/yr

About this role: We are seeking a talented Associate Data Scientist to join the Marketing ... internships, or research. * Experience with Python, SQL, statistical analysis, and databases.

Associate Data Scientist

Arlington, VA · On-site

$67K - $68K/yr

About this role: We are seeking a talented Associate Data Scientist to join the Marketing ... internships, or research. * Experience with Python, SQL, statistical analysis, and databases.

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Internship Data Scientist Graduate information

What is an internship data scientist graduate?

An Internship Data Scientist Graduate is a recent graduate or student in a data science or related field who is gaining practical experience through an internship. Their role typically involves working with large datasets, applying statistical analysis, building machine learning models, and supporting data-driven decision making within a company. This internship allows them to develop technical skills, learn industry tools and practices, and gain exposure to real-world business problems. It often serves as a stepping stone to a full-time data science position after graduation.

What are the key skills and qualifications needed to thrive as an internship data scientist graduate?

To thrive as an Internship Data Scientist Graduate, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or coursework in data science or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow) is highly valuable, and exposure to cloud platforms like AWS or Azure is a plus. Strong problem-solving skills, curiosity, and effective communication help you stand out by enabling you to interpret data insights and share findings with non-technical stakeholders. These skills ensure you can extract meaningful insights from data and contribute effectively to projects in a collaborative environment.

What types of projects and team collaborations can I expect as an internship data scientist graduate?

As an Internship Data Scientist Graduate, you'll typically work on real-world projects such as data cleaning, exploratory analysis, and building predictive models under the supervision of experienced data scientists. You'll collaborate closely with cross-functional teams, including engineers, business analysts, and product managers, to understand project requirements and deliver actionable insights. Interns are often encouraged to present their findings and contribute to team meetings, providing an excellent opportunity to develop both technical and communication skills. You'll also receive mentorship and constructive feedback, which can help accelerate your learning and professional growth in the data science field.

What is the difference between Internship Data Scientist Graduate vs Data Scientist?

AspectInternship Data Scientist GraduateData Scientist
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldBachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field; often requires some experience
Work EnvironmentTemporary, entry-level position often in a corporate or research setting, focused on learning and support tasksFull-time role with responsibilities including data analysis, modeling, and project development
Employer & Industry UsageUsed by companies for training and talent pipeline; common in tech, finance, healthcareEstablished role in various industries including tech, finance, healthcare, and consulting

The main difference is that an Internship Data Scientist Graduate is a temporary, entry-level position aimed at gaining experience, while a Data Scientist is a full-time professional role with ongoing responsibilities and expertise in data analysis and modeling.

What are the most commonly searched types of Data Scientist Graduate jobs in Virginia?

The most popular types of Data Scientist Graduate jobs in Virginia are:

What job categories do people searching Internship Data Scientist Graduate jobs in Virginia look for?

The top searched job categories for Internship Data Scientist Graduate jobs in Virginia are:

What cities in Virginia are hiring for Internship Data Scientist Graduate jobs?

Cities in Virginia with the most Internship Data Scientist Graduate job openings:

Data Scientist

Leidos

Arlington, VA • On-site

$69K - $125K/yr

Full-time

Medical, Retirement, PTO

Re-posted 26 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

81st of 500 rated business services


Job description

Description

Leidos National Security Sector has a current opening for a TS/SCI cleared Data Scientist supporting our 10-year DOMEX Technology Platform (DTP) contract working alongside software/system engineers and research/data scientists with expertise in multi-modal information retrieval, UI development, computer vision, metrics, information science, artificial intelligence, and autonomous systems.

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics?

Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and many tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables

Fun stuff you will do:

  • Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Search and Discovery platform to find and organize results, disseminate findings via reports, and contribute to publications and presentations. 
  • Work on research tasks to recommend optimal approaches to index and organize data for discovery.  Create agents and tools as reusable elements in a broader agentic solution space.
  • Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.
  • Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.
  • Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement 

To be successful in this role you need the following (required):

  • B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses
  • 4+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. 2+ years of experience required with a Master’s
  • Must have an active TS/SCI clearance and must be able to obtain and maintain a Polygraph
  • Proficiency in Python
  • Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.
  • Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL)
  • Familiarity with Git along with its application to adherence with good practices in cooperative software development teams.
  • Experience working with a hybrid team of analysts, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms
  • Track record of active learning and creative problem solving
  • Work with a team in co-development and cooperative research making best efforts to leverage and reuse team products.

You will wow us even more if you have some of these skills:

  • A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
  • Experience constructing and performing evaluations of analytics including test data construction, test execution and metrics.
  • Experience with an Agentic software solution (e.g. Agno, CrewAI, Pydantic AI, LangGraph).
  • Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)

#NMECDTP-Leidos

#ASBA

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:July 22, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $69,550.00 - $125,725.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.


What Leidos employees say

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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