Data Scientist Internships
Data scientist internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working data scientists, and, at many employers, a path toward a full-time offer. Openings across Technology & Software, Banking & Financial Services, and Energy are actively posted, with Booz Allen Hamilton, TikTok, and Meta among the employers posting roles now.
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Data Scientist Intern, Product Analytics (PhD) (Summer 2027) Responsibilities:
- Perform large-scale data analysis to extract useful business insights.
- Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups.
- Work closely with a Product Manager and Engineering team to proactively create metric systems and manage decisions.
- Classify leads so that the teams work on the most valuable cases.
- Suggest improvements in the tools and techniques to help scale the team and/or build 0->1 convictions on new initiatives. Model solutions around what delivers long-run user value to our users
Minimum Qualifications:
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
- Currently is in the process of obtaining a PhD degree in quantitative field
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
- Curious, self-driven, analytical and excited to play with data
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
- Ability to thrive in a fast paced work environment
- Intent to return to a degree-program after the completion of the internship
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,188/month to $12,100/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Data Scientist Intern, Product Analytics (PhD) (Summer 2027) Responsibilities:
- Perform large-scale data analysis to extract useful business insights.
- Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups.
- Work closely with a Product Manager and Engineering team to proactively create metric systems and manage decisions.
- Classify leads so that the teams work on the most valuable cases.
- Suggest improvements in the tools and techniques to help scale the team and/or build 0->1 convictions on new initiatives. Model solutions around what delivers long-run user value to our users
Minimum Qualifications:
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
- Currently is in the process of obtaining a PhD degree in quantitative field
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
- Curious, self-driven, analytical and excited to play with data
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
- Ability to thrive in a fast paced work environment
- Intent to return to a degree-program after the completion of the internship
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,188/month to $12,100/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Data Scientist Internship Market
Who's Hiring
- Booz Allen Hamilton11
- TikTok4
- Meta3
- Google3
- Xcel Energy3
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Energy
- Telecommunications
- Agriculture & Farming
Tips for Your Data Scientist Internship Search
Apply earlier than you think you should
Large employers recruit summer data scientist interns starting the preceding fall, and cohorts at major tech and finance companies can close before December. Smaller companies and co-op programs post closer to start dates, so new roles appear year-round. Check listings frequently and apply as soon as a role matches your background.
Build a portfolio before you apply
Hiring teams evaluating data scientist interns have little work history to assess, so your portfolio carries the weight. Publish two or three complete projects with documented methodology, clean code, and results, linked GitHub repositories, Jupyter notebooks, or Kaggle submissions give recruiters something concrete to review before your interview.
Combine campus recruiting with direct applications
Campus career fairs surface structured internship programs tied directly to your university, and recruiters there often move faster for students they meet in person. Your professors and career center staff may also know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside campus activity widens the pool you reach.
Practice your technical screen out loud
Data scientist intern interviews typically include a technical screen covering SQL queries, Python or R coding problems, and statistical reasoning or probability questions. Practice solving problems out loud, explaining your approach as you work, because interviewers weigh your reasoning process as much as the final answer. Timed mock sessions build the habit before it counts.
Target structured rotational and cohort programs
Larger employers in tech, finance, and consulting run formal data science internship programs built to train people new to the field. These rotational and cohort programs are competitive and recruit early, often in the fall for the following summer. Identify the programs that fit your background and apply in the first recruiting wave before cohorts fill.
Set your work-type filter before you start
On-site roles are 63% of the data scientist internships listed here. Decide what you can realistically commit to, on-site, hybrid, or remote, before you start sorting through listings. Filtering by work type and location up front means you spend time on roles you can actually take, not ones you'll decline after applying.
Data Scientist Internships: Frequently Asked Questions
How do I get a data scientist internship?
Lead with coursework and personal projects rather than work history, hiring teams at the intern level expect limited experience and want something concrete to assess. A portfolio of documented analyses, linked GitHub repositories, or published notebooks gives recruiters that artifact. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data scientist 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 the quality of your project contributions, whether the team has open headcount at the end of the summer, and how early you signal interest. Treat the offer as a possibility worth working toward, not a certainty you can count on.
When should I apply for data scientist internships?
Earlier than most candidates expect. Large employers, particularly in tech and finance, recruit summer interns starting the preceding fall, with some cohorts filling before the calendar year turns. Smaller companies and co-op programs post closer to actual start dates, so openings appear year-round. Check listings regularly and apply as soon as a role matches your profile.
Are data scientist internships paid?
Most professional data scientist internships in the United States are paid. Compensation varies by company size, industry, and location. Where an employer discloses pay, it appears directly in the listing, so the postings themselves are the clearest signal of what a given role offers.
What should a data scientist internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and methods used, Python, SQL, machine learning libraries, statistical modeling, and link to the work directly, such as a GitHub repository or published notebook. Add relevant coursework, keep everything to one page, and let the linked work do the assessment work.
Are there remote data scientist internships?
Yes. Remote and hybrid roles make up 38% of the data scientist internship listings here, with the rest on-site. Remote cohorts fill quickly, so apply early once you find a role that fits. Use the work-type filter to surface remote and hybrid listings without sorting through positions you cannot take.
What is a data science rotational internship program?
Some large employers, particularly in tech, finance, and consulting, run structured rotational internship programs that place interns across two or three teams over the summer, exposing them to different data science functions rather than a single project. These programs are designed for people early in their data careers, recruit in the fall for the following summer, and are competitive, apply in the first recruiting wave.
Can international students get data scientist 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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