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 Telecommunications are actively posted, with TikTok, Nuro, and Omya among the employers posting roles now.
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Job Title
Graduate Level Co-op – Data Scientist – Plymouth, MN – Summer 2027Job Description
Graduate Co-op – Data Scientist – Plymouth, MN – Summer 2027
Are you interested in an Internship opportunity with Philips? We welcome individuals who are currently pursuing a graduate (MS/PhD) degree to participate in a 3-6 month paid intern opportunities at our site in Plymouth, MN. Through this role you will gain meaningful, hands-on experience working for a HealthTech company.
Your role:
Join our high-performing Software Engineering team within the Image Guided Therapy Devices (IGT-D) Software R&D group. As a Data Scientist co-op,
you will support the development, analysis, validation, and documentation of data-driven and machine-learning-enabled workflows for clinical imaging software applications. You will work closely with AI/ML engineers, data scientists, software engineers, product owners, testers, and cross-functional stakeholders to help improve the quality, reliability, traceability, and performance of data and AI/ML models used in medical device software.
This is a great way to spend your spring/summer gaining practical experience in healthcare technology, medical imaging data, machine learning workflows, and regulated medical device software development, while contributing to technology that can improve clinical workflow efficiency for physician customers and support better outcomes for patients.
- Work closely with a member of the Software and AI/ML Engineering team to work on a focused project that can be completed during the co-op.
- Support gathering, processing, organizing, and analyzing raw data from different sources, with a focus on clinical imaging or healthcare-related datasets.
- Assist with exploratory data analysis to identify patterns, trends, data quality issues, unexpected results, or potential preprocessing concerns.
- Help verify the quality, consistency, and reliability of data sources used for AI/ML model development and validation.
- Support documentation of data sources, data cleaning processes, exploratory analysis, assumptions, parameters, and performance metrics.
- Assist data scientists and machine learning engineers with model training, evaluation, tuning, and performance analysis under the guidance of experienced team members.
- Complete required training necessary to comply with regulatory requirements and quality management system standards.
- Create and present an end-of-summer intern presentation summarizing your project, technical approach, results, learnings, and impact.
You're the right fit if:
- Pursuing a master's degree or doctorate (Ph.D) in computer science, computer engineering, or a related field.
- Experience working with deep learning frameworks like PyTorch, TensorFlow etc. and CNNs like UNet, ResUNet etc.
- Strong understanding of medical imaging standards and formats (e.g., DICOM, NIfTI) and familiarity with data management tools specific to imaging (e.g., PACS, cloud-based storage for imaging data).
- Experience in managing medical imaging databases and understanding of how imaging data is used in AI/ML model development.
- Good problem solving and debugging skills.
- Team player with good communication, technical writing and presentation skills.
- Willing and capable of working on-site in the office at our Plymouth, MN site.
- You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position .
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
This is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
- Learn more about our business .
- Discover our rich and exciting history.
- Learn more about our purpose.
- Learn more about our culture.
Philips Transparency Details
The hourly pay range for this position is $33.00 to $48.00, plus overtime eligible. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
Details about our benefits can be found here .
At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.
Additional Information
US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Plymouth, MN.
This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.
Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.
Job Title
Graduate Level Co-op – Data Scientist – Plymouth, MN – Summer 2027Job Description
Graduate Co-op – Data Scientist – Plymouth, MN – Summer 2027
Are you interested in an Internship opportunity with Philips? We welcome individuals who are currently pursuing a graduate (MS/PhD) degree to participate in a 3-6 month paid intern opportunities at our site in Plymouth, MN. Through this role you will gain meaningful, hands-on experience working for a HealthTech company.
Your role:
Join our high-performing Software Engineering team within the Image Guided Therapy Devices (IGT-D) Software R&D group. As a Data Scientist co-op,
you will support the development, analysis, validation, and documentation of data-driven and machine-learning-enabled workflows for clinical imaging software applications. You will work closely with AI/ML engineers, data scientists, software engineers, product owners, testers, and cross-functional stakeholders to help improve the quality, reliability, traceability, and performance of data and AI/ML models used in medical device software.
This is a great way to spend your spring/summer gaining practical experience in healthcare technology, medical imaging data, machine learning workflows, and regulated medical device software development, while contributing to technology that can improve clinical workflow efficiency for physician customers and support better outcomes for patients.
- Work closely with a member of the Software and AI/ML Engineering team to work on a focused project that can be completed during the co-op.
- Support gathering, processing, organizing, and analyzing raw data from different sources, with a focus on clinical imaging or healthcare-related datasets.
- Assist with exploratory data analysis to identify patterns, trends, data quality issues, unexpected results, or potential preprocessing concerns.
- Help verify the quality, consistency, and reliability of data sources used for AI/ML model development and validation.
- Support documentation of data sources, data cleaning processes, exploratory analysis, assumptions, parameters, and performance metrics.
- Assist data scientists and machine learning engineers with model training, evaluation, tuning, and performance analysis under the guidance of experienced team members.
- Complete required training necessary to comply with regulatory requirements and quality management system standards.
- Create and present an end-of-summer intern presentation summarizing your project, technical approach, results, learnings, and impact.
You're the right fit if:
- Pursuing a master's degree or doctorate (Ph.D) in computer science, computer engineering, or a related field.
- Experience working with deep learning frameworks like PyTorch, TensorFlow etc. and CNNs like UNet, ResUNet etc.
- Strong understanding of medical imaging standards and formats (e.g., DICOM, NIfTI) and familiarity with data management tools specific to imaging (e.g., PACS, cloud-based storage for imaging data).
- Experience in managing medical imaging databases and understanding of how imaging data is used in AI/ML model development.
- Good problem solving and debugging skills.
- Team player with good communication, technical writing and presentation skills.
- Willing and capable of working on-site in the office at our Plymouth, MN site.
- You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position .
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
This is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
- Learn more about our business .
- Discover our rich and exciting history.
- Learn more about our purpose.
- Learn more about our culture.
Philips Transparency Details
The hourly pay range for this position is $33.00 to $48.00, plus overtime eligible. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
Details about our benefits can be found here .
At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.
Additional Information
US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Plymouth, MN.
This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.
Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.
Data Scientist Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Telecommunications
- Agriculture & Farming
- Electronics & Hardware
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 60% 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 40% 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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