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Data Science Intern Jobs in Baltimore, MD (NOW HIRING)

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

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

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 ...

Blend360

Associate Director of Data Science

Columbia, MD

$58K - $59K/yr

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

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Data Science Intern information

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How much do data science intern jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data science intern in Baltimore, MD is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Baltimore, MD?

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What are popular job titles related to Data Science Intern jobs in Baltimore, MD?

For Data Science Intern jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Data Science Intern jobs in Baltimore, MD look for?

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What cities near Baltimore, MD are hiring for Data Science Intern jobs?

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Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Baltimore, MD as of August 2026, with employment types broken down into 10% Internship, 80% Full Time, and 10% Part Time. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $46,511 per year, or $22.4 per hour.

2027 Internship - Data Science - System Performance Evaluation

Laurel, MD • On-site

Johns Hopkins Applied Physics Laboratory
Manufacturing • 5 - 10K employees

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 74 rated research

Great coworkers

People enjoy working here

Good employer

Learn more about Johns Hopkins Applied Physics Laboratoryexternal

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

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 majoring in Data Science, Statistics, Mathematics, or Computer Science, we would love to have you join our team! We are seeking a data scientist intern 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...
  • Are pursuing a degree in Data Science, Statistics, Mathematics, Computer Science or related field
  • Have experience with or knowledge of Python and/or R
  • Have experience with developing extract, transfer, load processes for data quality pipelines, data science applications and dashboard tools, or statistical and machine learning methodologies for analysis
  • Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain a final Secret level security 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.
  • Have a minimum 3.0 GPA on a 4.0 scale.

You'll go above and beyond our minimum requirements if you...
  • Have a Bachelor's in Data Science, Statistics, Mathematics, Computer Science or related field
  • Have experience with statistical analysis methodologies and design of experiments
  • Have experience with or knowledge of 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
$22.60 Hourly
Maximum Rate
$47.95 Hourly

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