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Graduate Data Science Intern Jobs in Silver Spring, MD

Leidos

Data Scientist

Bethesda, MD · On-site

... 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 ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

That's why QxBranch Predictive Analytics solutions feature transparent data science, providing ... graduate level education * Desired Skills: * Expertise in one or more of: natural language ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

That's why QxBranch Predictive Analytics solutions feature transparent data science, providing ... and graduate level education Desired Skills: * Expertise in one or more of: natural language ...

VMD Corp

Data Scientist - TS/SCI

Bethesda, MD · On-site

... 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 ...

Xcelerate Solutions

Be Seen First

Data Scientist - TS/SCI

Bethesda, MD · On-site

$140K - $160K/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 ...

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Graduate Data Science Intern information

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$12

$23

$43

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

As of Jul 13, 2026, the average hourly pay for graduate data science intern in Silver Spring, MD is $23.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $25.34 per hour, depending on experience, location, and employer.

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, and why are they important?

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 are popular job titles related to Graduate Data Science Intern jobs in Silver Spring, MD? For Graduate Data Science Intern jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Graduate Data Science Intern jobs in Silver Spring, MD look for? The top searched job categories for Graduate Data Science Intern jobs in Silver Spring, MD are:
Graduate Data Science Intern jobs near you
Data Scientist

Data Scientist

Leidos

Bethesda, MD • On-site

Full-time

Re-posted yesterday

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

56th of 449 rated business services

Job description

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 Data Scientist that likes to perform research-level data analytics and are willing to work at our customer site in Bethesda, MD? Want to support ongoing and future programs to advance the state of the art in research and advanced machine learning, natural language processing, and data fusion applications in the areas of mission-focused big data analytics? You will be part of a research-focused data science team working to advance national security objectives, produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. Exciting right!!
Fun stuff on the job you will do:
  • Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
  • Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.
  • 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:
  • B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social 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 ability to obtain a TS/SCI with Polygraph.
  • Experience in data science, analytics or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes
  • Proficiency in one or more scripting languages such as 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)
  • Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms
  • Previous experience performing Data Science or Research in data analytics or big data, i.e. data that won't fit in memory.
  • Track record of active learning and creative problem solving
  • Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions.
  • Familiarity using git or other version control technologies
  • Our Data Scientists have opportunities to own their work and complete tasks on time with little/no supervision

You will wow us even more if you have 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.
  • Significant experience dealing with at least two of the following data classes: forensic media (i.e. DOMEX); open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics
  • Experience with Knowledge Graphs and KG tech such as neo4j or graph ML.
  • Experience developing predictive algorithms, image classifiers, object detectors, and others.
  • Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing.
  • Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner.
  • Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)
  • Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc.

#NMECDTP-Leidos
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:
June 15, 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.

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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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