Data Science Analyst Internships
Data science analyst internships give university students, recent graduates, and early-career switchers hands-on project experience working with real datasets, mentorship from working data scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated across 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 Analyst 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 Analyst Internship Market
Who's Hiring
Top Industries Hiring
- Education
- Technology & Software
Tips for Your Data Science Analyst Internship Search
Apply in the fall for summer roles
Large employers in tech, finance, and consulting open summer data science analyst intern recruiting as early as August or September the year before. If you wait until spring, many structured cohort programs are already closed. Smaller companies and co-ops post closer to start dates, so keep checking throughout the year.
Build a project portfolio before you apply
Hiring teams for data science analyst interns evaluate your thinking through work samples, not job titles. Publish two or three end-to-end projects on GitHub or a personal site, each showing the dataset, your analysis or model, the tools you used, and what you found. A linked notebook does more work than a bullet point on a resume.
Work your campus network and apply directly at the same time
Campus career fairs surface structured programs tied directly to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Running direct applications to companies with smaller cohorts alongside that campus activity puts you in front of opportunities your classmates may not see.
Practice the technical screen out loud before applying
Data science analyst intern interviews typically include a technical or analytics screen covering SQL, Python, statistical reasoning, or case-style questions about data interpretation. Practice working through problems out loud, explaining your logic as you go, because interviewers weigh how you think through ambiguous data problems as much as whether you reach the right answer.
Target structured rotational and university programs early
Many large employers run dedicated data science rotational or cohort programs built to train candidates new to the field. These recruit in the first wave of fall recruiting and fill fast. Identify the programs that align with your background and apply as soon as they open rather than waiting to finalize other applications first.
Set your work-type filter before you start
On-site roles are 53% of the data science analyst internships listed here. Decide upfront what you can realistically commit to, then filter by location and work type so you are spending your time on roles you can actually accept, not sorting through listings that don't fit your situation.
Data Science Analyst Internships: Frequently Asked Questions
How do I get a data science analyst internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited professional experience at the intern level. Build a portfolio of two or three documented analyses or models, ideally with linked code on GitHub or a published notebook, so recruiters have something concrete to assess. Pair direct applications with campus career fairs, where data science recruiters often move faster for students they meet in person.
Can a data science analyst internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for data science analyst interns is performance on real project deliverables, whether the team has open headcount at the end of the summer, and how early you confirm your interest. Treat the offer as a possible outcome worth working toward, not a certainty to count on.
When should I apply for data science analyst internships?
Earlier than most candidates expect. Large tech and finance employers open summer intern recruiting the preceding fall, often as early as August or September. Smaller companies, startups, and co-op programs post much closer to their start dates, so openings appear year-round. Checking regularly and applying as soon as a role matches your background gives you the best shot at each wave.
Are data science analyst internships paid?
Most professional data science analyst internships in the U.S. are paid. Compensation varies by company size, industry, and location. Where an employer discloses pay, the listing shows it directly, so you can compare opportunities without guessing.
What should a data science analyst internship resume include?
Lead with two or three complete projects rather than work history. For each one, name the tools and methods you used, describe the outcome, and link to the code repository or published analysis so reviewers can see the actual work. Add relevant coursework in statistics, machine learning, or programming, and keep the whole document to one page.
Are there remote data science analyst internships?
Yes. Remote and hybrid roles make up 47% of the data science analyst internship listings here, with the rest on-site. Remote cohorts fill quickly because they attract applicants from every location, so apply early and use the work-type filter to surface them without sorting through roles you cannot take.
What is a data science rotational internship program?
Some large employers, particularly in tech and finance, run structured rotational internship programs that place interns across two or three data teams over the course of a summer. These programs are designed for people building their first professional data science experience, offer broader exposure than a single-team placement, and recruit early in the fall cycle. They are competitive, so identify the ones that fit your background and apply in the first wave.
Can international students get data science analyst 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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