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Graduate Data Science Intern Jobs in Maryland (NOW HIRING)

Analytica

2027 Summer Intern Associate

Bethesda, MD · On-site +1

$16 - $21.50/hr

  • Medical

  • Retirement

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis * Support development of machine learning or statistical models * Prepare datasets for analysis and validation

Varsity Tutors

Data Science Tutor

Baltimore, MD · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Rockville, MD · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Bowie, MD · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Laurel, MD · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

College Park, MD · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Rackner

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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. * Experience in data ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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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 are popular job titles related to Graduate Data Science Intern jobs in Maryland?

For Graduate Data Science Intern jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Graduate Data Science Intern jobs in Maryland look for?

The top searched job categories for Graduate Data Science Intern jobs in Maryland are:

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

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

Graduate Data Science Intern jobs near you
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.

2026 Graduate - Data Science - System Performance Evaluation

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 73 rated research

Job description

Description
Do you enjoy manipulating and analyzing data to find data-driven solution to complex problems?
Do you want to contribute to work that is crucial to maintaining our national security and strength?
Are you continuously searching for new ways to improve and build upon your projects?
If you are graduating with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or Computer Science, we would love to have you join our team! We are seeking a data scientist to leverage their computational and analytical skills supporting multi-disciplinary teams on a variety of technological and methodological innovations to create analysis and assessment approaches for many defense and national security applications. You will be joining our team of hardworking engineers, software developers, data scientists, and analysts committed to advancing the state of the art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle. We believe in continually growing our capabilities, and cultivating a work environment that embraces innovation, integrity, trust, and teamwork.
As a member of our team you will...
  • Work with multi-disciplinary teams to develop data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
  • Develop Build models and simulations to describe data, predict events, and prescribe a course of action that directly reflect stakeholder's needs across a variety of domains

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a Bachelor's in Data Science, Statistics, Mathematics, Computer Science or related field
  • Have experience with or knowledge of Python and/or R
  • Have classroom or professional experience in developing extract, transfer, load processes for data quality pipelines, data science applications and dashboard tools, and statistical and machine learning methodologies for analysis
  • Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Have a Master's in Data Science, Statistics, Mathematics, or Computer Science or related field
  • Have classroom or professional experience with statistical analysis methodologies and design of experiments.
  • Classroom or professional experience with SQL and Data Science frameworks (such as Tensorflow, Sci-kit learn, Numpy, PyTorch, Matplotlib, or more)

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$85,000 Annually
Maximum Rate
$165,000 Annually

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