Data Science Engineer Internships
Data science engineer internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working engineers and data scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated in Education and Technology & Software, with TikTok, BNY, and Capital One among the employers posting roles now.
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Showing 5 of 33+ Data Science Engineer Internships
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
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
Data Science Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Education
- Technology & Software
Tips for Your Data Science Engineer Internship Search
Apply in the fall for summer cohorts
Large employers in technology, finance, and engineering open summer internship applications as early as August or September the year before the start date. Smaller companies and co-op programs post closer to their start dates. Check listings consistently through the fall and spring rather than waiting until the semester you want to intern.
Build a portfolio before you apply
Intern hiring teams for data science engineer roles expect limited work history and assess candidates on project evidence instead. Publish two or three end-to-end projects on GitHub, complete with data pipelines, model code, and a clear README, so every application links to something reviewers can actually open and evaluate.
Work your campus network alongside direct applications
Career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. At the same time, apply directly to companies running smaller cohorts that never attend campus events. Running both tracks together reaches more opportunities than either approach alone.
Practice your technical screen out loud
Data science engineer intern screens typically include a coding assessment covering data structures, algorithms, and SQL, plus a take-home or live machine learning problem. Practice solving problems while narrating your reasoning, interviewers weigh how you think through a problem as much as whether you reach the right answer. Do at least several sessions before your first real screen.
Target structured internship pipelines early
Larger technology and engineering employers run formal cohort programs designed specifically to train people new to data science engineering. These programs recruit on a fixed schedule, fill their seats in the first application wave, and close before many candidates realize they are open. Identify the programs that match your background and apply as soon as each one opens.
Set your work-type filter before you start
On-site roles are 53% of the data science engineer internships listed here. Decide what you can actually commit to, relocation, commuting, or fully remote, before you start searching, then filter by location and work type from the beginning. Sorting through roles you cannot accept wastes application time you could spend on a stronger submission to a better-fit opening. Use the filters on Migrate Mate to narrow results immediately.
Data Science Engineer Internships: Frequently Asked Questions
How do I get a data science engineer internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. A GitHub repository showing end-to-end data pipelines, model notebooks, or deployed applications gives recruiters something concrete to assess. Pair direct applications with campus career fairs, where recruiters often move faster for candidates they meet in person.
Can a data science engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it is your performance on real project work, open headcount on the team at offer time, and how early you signal interest in returning. Treat the internship as an audition, deliver results, and ask about the return-offer process without counting on a specific outcome.
When should I apply for data science engineer internships?
Earlier than most expect. Large employers, technology companies, financial institutions, and major manufacturers, open summer internship applications the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to the actual start date, so openings appear year-round. Check regularly and apply as soon as a role that fits your background goes live.
Are data science engineer internships paid?
Most professional data science engineer internships in the United States are paid. Compensation varies by company size, industry, and location, so listings show the range where the employer chooses to disclose it. Unpaid internships do exist, particularly at early-stage startups or through academic arrangements, but they are uncommon at established technology and engineering employers.
What should a data science engineer internship resume include?
Lead with projects, not work history. Feature two or three complete, documented projects that name the tools, datasets, and methods you used, and link directly to your code repositories or published analyses so reviewers can verify the work. Add relevant coursework in machine learning, statistics, or data engineering. Keep the entire document to one page.
Are there remote data science engineer internships?
Yes. Remote and hybrid roles make up 47% of the data science engineer internship listings here, with the rest on-site. Remote cohorts tend to fill quickly because they draw a wider applicant pool, so apply early once you decide remote fits your situation. Use the work-type filter to see only remote or hybrid openings.
Can international students get data science engineer internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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