Data Science Intern Jobs
Data Science Intern jobs are open across technology, finance, healthcare, and consumer goods, from entry-level undergraduate roles to pre-doctoral positions, with specializations in machine learning, statistical modeling, and data engineering. See the openings below and apply to the ones that match your experience.
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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 Science Intern Jobs by Experience Level
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in data science intern jobs.
- Proficiency in Python with experience using pandas, NumPy, or scikit-learn
- Working knowledge of SQL for querying and manipulating relational databases
- Currently enrolled in or recently completed a bachelor's or master's degree in a quantitative field
- Familiarity with machine learning concepts such as regression, classification, or clustering
- Experience communicating analytical findings through data visualization tools like Tableau, Power BI, or Matplotlib
- Exposure to statistical methods including hypothesis testing, A/B testing, or probability modeling
Tips for Your Data Science Intern Job Search
Tailor your resume to the stack
Many data science intern listings name specific libraries like scikit-learn, PyTorch, or pandas. Mirror the exact tool names from each job posting in your resume's skills and project sections, since applicant tracking systems filter on these terms before a human reads anything.
Lead with project outcomes, not tasks
Recruiters skip resumes that say 'analyzed data.' Instead, write what changed because of your analysis: a model that improved prediction accuracy by a measurable amount, or a dashboard that replaced a manual weekly report. Concrete results beat process descriptions every time.
Post your notebooks and code publicly
A public GitHub repository with clean, commented notebooks does more for a data science intern application than a generic portfolio site. Include a brief README on each project explaining the business problem you solved, the dataset, and the method you chose and why.
Filter openings by required versus preferred skills
Data science intern postings often list ten or more qualifications, but half are labeled preferred. Apply when you meet the required skills, even if your preferred-skill count is low. Hiring managers expect interns to be building toward the preferred list, not already there.
Apply early to roles that fit
Migrate Mate lists data science intern openings from across the United States in one place, so you can find roles that match and apply directly to each listing. Applying within the first week of a posting going live consistently improves your odds of a callback.
Prepare a coding and case interview separately
Data science intern interviews almost always include a SQL or Python coding screen and a separate analytical case where you interpret a dataset aloud. Practice each format independently, since the skills they test differ enough that cramming both at once leaves gaps in your preparation.
Data Science Intern Jobs: Frequently Asked Questions
Which companies are hiring the most data science interns?
TikTok, FedEx, and Intel Corporation are hiring the most data science interns right now, with openings concentrated in California, Texas, and Illinois, based on current listings on Migrate Mate as of November 2026. Technology, financial services, and healthcare companies tend to post the highest volume of data science intern roles year-round.
How many data science intern jobs are remote?
About 67% of data science intern openings are fully remote or hybrid as of November 2026, making it one of the more flexible internship categories. Machine learning research and analytics engineering roles within that group are the most likely to offer fully remote arrangements, while roles tied to on-premise data infrastructure tend to require some in-office presence.
How do you become a data science intern?
Build a foundation in Python and SQL, then complete at least two independent data projects you can share publicly on a code repository. Take a statistics or machine learning course to add formal methodology to your hands-on work. Apply to roles that list your current tools as required rather than preferred, write a targeted cover letter connecting your projects to the company's domain, and prepare for both a coding screen and an analytical case interview.
Can you get a data science intern role with little experience?
Yes, many data science intern roles are designed for candidates who are still building their skills. Employers hiring first-time interns care more about your ability to work with data in Python or SQL than about prior professional experience. A strong academic project, a Kaggle competition entry, or a self-directed analysis of a public dataset can substitute for work history, especially when you document your methodology and results clearly.
What does the data science intern interview process look like?
Most data science intern interviews follow a pattern of three to four stages. An initial recruiter screen focuses on background and fit. A technical phone or video screen tests Python, SQL, or statistics fundamentals with short coding problems. A take-home assignment or live coding challenge follows, often involving an exploratory analysis of a provided dataset. Final-round interviews combine a presentation of your take-home work with behavioral questions about how you approach problems and communicate findings.
Where can I find and apply to data science intern jobs?
You can find and apply to data science intern jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings to find roles that match your skills, tools, and preferred location, then apply directly to each one that fits. New openings are added regularly, so checking back frequently gives you access to postings before they receive a high volume of applicants.
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