Data And Analytics Internships
Data and analytics internships give university students, recent graduates, and early-career switchers hands-on project experience working alongside working data scientists and analysts, and, at many employers, a path toward a full-time offer. Openings cover Energy, with Meta, Vertiv, and EmblemHealth 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
Data And Analytics Internship Market
Who's Hiring



Top Industries Hiring
- Energy
Tips for Your Data And Analytics Internship Search
Apply for summer roles in the fall
Large employers open data and analytics internship applications in August and September for cohorts starting the following May or June. Waiting until spring means competing for a much smaller pool of late-posted roles. Set a reminder to check postings as soon as a new academic year begins.
Build a portfolio before you apply
Recruiters screening data and analytics intern candidates want something concrete to assess. Two or three documented projects, a cleaned dataset with analysis on GitHub, a published SQL case study, or a Tableau dashboard, give them that. Coursework alone rarely differentiates candidates at the intern level.
Work your campus network and apply directly
Campus career fairs surface structured internship programs tied to your university, and 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 don't recruit on campus, both channels together widen the roles you can reach.
Practice your technical screen out loud
Data and analytics intern interviews typically involve a SQL or Python coding screen, a case study using a real dataset, or a statistics and probability walkthrough. Interviewers weigh how you explain your reasoning as much as whether you reach the right answer, so practice talking through your approach before you sit in the actual screen.
Target rotational and cohort programs early
Many larger companies run structured rotational or university internship programs designed to train people entering data and analytics for the first time. These programs recruit months before general postings go live and fill their cohorts fast. Identify the programs that match your background and submit in the first application window.
Set your work-type filter before you start
On-site roles are 21% of the data and analytics internships listed here. Decide whether you can relocate, commute, or need remote flexibility before you open applications. Filtering by location and work type on Migrate Mate first means you spend your time on roles you can actually accept.
Data And Analytics Internships: Frequently Asked Questions
How do I get a data and analytics internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level, and a linked GitHub repository or published analysis gives recruiters something concrete to assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data and analytics 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 and analytics interns is consistent performance on real deliverables, available headcount on the team, and how early in your internship you signal interest. Position yourself by doing the work well without counting on the offer.
When should I apply for data and analytics internships?
Earlier than most candidates expect. Large employers recruit for summer cohorts the preceding fall, meaning applications open in August or September for a placement the following June. Smaller companies and co-op programs post closer to their actual start dates, so openings appear year-round and the cycle is not limited to one recruiting season.
Are data and analytics internships paid?
Most professional data and analytics internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer discloses it. Unpaid arrangements are less common in technical fields and are more often found in nonprofit or research settings.
What should a data and analytics internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools you used and link to where the work lives, a GitHub repository, a published analysis, or a Kaggle notebook. Add relevant coursework in statistics, SQL, Python, or visualization tools. Keep the whole thing to one page.
Are there remote data and analytics internships?
Yes. Remote and hybrid roles make up 79% of the data and analytics internship listings here, with the rest on-site. Remote cohorts fill quickly because they attract a national applicant pool, so apply early and filter by work type to see them before they close.
What is a data analytics rotational internship?
Rotational internship programs place you on two or three different teams within a company over the course of one summer or semester, giving you exposure to areas like business intelligence, data engineering, and product analytics in a single program. They target people new to the field, recruit early in the fall, and are competitive, apply in the first wave.
Can international students get data and analytics 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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