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 Technology & Software, Energy, and Consulting & Professional Services, with TikTok, BNY, and FedEx among the employers posting roles now.
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Additional Information:
The internship is expected to be a 10–12 week period from May 2027 until the end of July 2027. Housing is not provided, but reasonable rentals may be available through local university student housing offices. The selected candidate will be responsible for their own transportation.
A 40-hour work week is set and scheduled by the individual departments. SRMC utilizes various work schedules including 5/8s (8 hours/day; five days per week), 4/10s (10 hours/day; four days per week), etc. Each workday has a 30-minute lunch. Interns will be paid a competitive hourly rate; no summer interns will be assigned to shift work; overtime is not available; Interns will be paid for site holidays (Memorial Day, July 4th) as applicable.
Assignments will be located in SRMC facilities in Aiken, SC. Public transportation is not available, and interns will be required to arrange their own transportation. A valid Driver’s License, Registration and proof of automobile insurance is required for driving on the Savannah River Site.
Resumes will be reviewed by the selection panel in January 2027. All selected applicants will be contacted by February or March 2027.
If you are selected to participate in the SRMC internship program, additional information will be requested such as: SRMC employment application, references and official transcripts. You will be assigned to SRS General Employee Training and Drug and Alcohol test appointments before badging and commencement of assignment.
- Candidate must be enrolled as a full-time student at:
- An accredited four-year university, and currently working towards a Bachelor’s Degree in Computer Science, Data Science, or equivalent
- Must have completed their Sophomore year.
- Must pass General Employment Training (GET)
- Must pass Drug and Alcohol Testing (DAT)
- A cumulative GPA of 2.5 or above
- Knowledge of basic computer science concepts, such as data structures, algorithms, object-oriented programming, etc.
- Familiarity with .NET framework and C# programming language
- Experience with web development technologies, such as HTML, CSS, JavaScript, jQuery, Bootstrap, etc.
- Ability to learn new technologies to include artificial intelligence (AI), machine learning (ML) and solve problems.
- Good communication and interpersonal skills
- Attention to detail and quality.
- Creativity and innovation
- High Deductible Health Insurance
- 2 paid holidays during the summer months
- Paid Sick Leave
Additional Information:
The internship is expected to be a 10–12 week period from May 2027 until the end of July 2027. Housing is not provided, but reasonable rentals may be available through local university student housing offices. The selected candidate will be responsible for their own transportation.
A 40-hour work week is set and scheduled by the individual departments. SRMC utilizes various work schedules including 5/8s (8 hours/day; five days per week), 4/10s (10 hours/day; four days per week), etc. Each workday has a 30-minute lunch. Interns will be paid a competitive hourly rate; no summer interns will be assigned to shift work; overtime is not available; Interns will be paid for site holidays (Memorial Day, July 4th) as applicable.
Assignments will be located in SRMC facilities in Aiken, SC. Public transportation is not available, and interns will be required to arrange their own transportation. A valid Driver’s License, Registration and proof of automobile insurance is required for driving on the Savannah River Site.
Resumes will be reviewed by the selection panel in January 2027. All selected applicants will be contacted by February or March 2027.
If you are selected to participate in the SRMC internship program, additional information will be requested such as: SRMC employment application, references and official transcripts. You will be assigned to SRS General Employee Training and Drug and Alcohol test appointments before badging and commencement of assignment.
- Candidate must be enrolled as a full-time student at:
- An accredited four-year university, and currently working towards a Bachelor’s Degree in Computer Science, Data Science, or equivalent
- Must have completed their Sophomore year.
- Must pass General Employment Training (GET)
- Must pass Drug and Alcohol Testing (DAT)
- A cumulative GPA of 2.5 or above
- Knowledge of basic computer science concepts, such as data structures, algorithms, object-oriented programming, etc.
- Familiarity with .NET framework and C# programming language
- Experience with web development technologies, such as HTML, CSS, JavaScript, jQuery, Bootstrap, etc.
- Ability to learn new technologies to include artificial intelligence (AI), machine learning (ML) and solve problems.
- Good communication and interpersonal skills
- Attention to detail and quality.
- Creativity and innovation
- High Deductible Health Insurance
- 2 paid holidays during the summer months
- Paid Sick Leave
Data Science Analyst Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Energy
- Consulting & Professional Services
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 30% 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 70% 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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