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Graduate Data Science Intern Jobs in Maryland (NOW HIRING)

Data Scientist

Bethesda, MD · On-site

$69K - $125K/yr

... 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 ...

Data Scientist

Chevy Chase, MD · On-site

$69K - $125K/yr

... 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 ...

... 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 ...

Data Scientist

Gaithersburg, MD · On-site

$69K - $125K/yr

... 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 ...

... Science with 2+ years of experience; or Master's degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience. • Active TS and ...

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Data Scientist- TS/SCI

Bethesda, MD · On-site

$160K - $200K/yr

... Science with 2+ years of experience; or Master's degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience. * Active TS and ...

... Science with 2+ years of experience; or Master's degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience. * Active TS and ...

Data Scientist - TS/SCI

Bethesda, MD · On-site

$80 - $120/hr

... Science with 2+ years of experience; or Master's degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience. * Active TS and ...

... Intern to join our team. The ideal candidate will play a crucial role in managing and analyzing ... Current undergraduate or graduate student studying public health, data science, social sciences, or ...

Senior Data Scientist

Rockville, MD · On-site

$131.30 - $237.35/hr

Senior Data Scientist Are you ready to thrive? Through training, teamwork, and exposure to ... graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics ...

Lead AI and Data Science Engineer II

Baltimore, MD · On-site

$101K - $134K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

Senior Data Scientist

Rockville, MD · On-site

$131K - $237K/yr

As a Senior Data Scientist, you will : * Lead the design, development, and deployment of advanced ... graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics ...

Showing results 41-60

Graduate Data Science Intern information

What does a graduate data science intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

What types of projects do graduate data science interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

What are the key skills and qualifications needed to thrive as a graduate data science intern?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

What cities in Maryland are hiring for Graduate Data Science Intern jobs?

Cities in Maryland with the most Graduate Data Science Intern job openings:

Infographic showing various Graduate Data Science Intern job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

Leidos

Bethesda, MD • On-site

$69K - $125K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

78th of 491 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.


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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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