Applied Data Scientist Internships
Applied 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 are concentrated in Technology & Software, with TikTok, Meta, and Lyft among the employers posting roles now.
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Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential – and excitement for the journey ahead.
As an Applied Scientist Intern at Microsoft, you will be at the forefront of technological innovation, working collaboratively to bring research to life in our products and services. You'll gain expertise in cutting-edge research areas, apply advanced concepts to real-world needs, and use state-of-the-art tools to make a tangible impact on product quality and business outcomes. You'll contribute to the creation of intelligent solutions through data analysis, modeling, machine learning, and/or AI, LLM, SLM and agent, ensuring our products remain at the leading edge of innovation.
As an intern at Microsoft, you’re stepping into a world of real impact from day one. You’ll collaborate with global teams on meaningful projects, explore cutting-edge technologies like AI, and kick start your career while doing it. With a strong focus on learning and development, this is your opportunity to grow your skills, build community, and shape your future—all while being supported every step of the way.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate and empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Analyzes and improves performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications.
Thinks through the product scenarios and goals, identify key challenges, then fit the scenario asks into Machine Learning (ML) tasks, design experimental process for iteration and optimization.
Implements prototypes of scalable systems in AI applications. Gains an understanding of a broad area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members.
Prepares data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded and be able to describe actions taken to address data quality problems.
Assists with the development of usable datasets for modeling purposes and support the scaling of feature ideation and data preparation.
Helps take cleaned data and adapt for machine learning purposes, under the direction of a senior team member.
Qualifications
Required Qualifications:
Currently pursuing a Bachelor's or Master's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
Must have at least one additional quarter/semester of school remaining following the completion of the internship.
Preferred Qualifications:
Currently pursuing a Master’s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
Passion for building AI experiences and an understanding of how AI tools and technologies can be applied to improve relevance, discovery, personalization, and end-user satisfaction.
#EiP
The base pay range for this internship is USD $5,690.00 - $11,210.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7,410.00 - $12,250.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential – and excitement for the journey ahead.
As an Applied Scientist Intern at Microsoft, you will be at the forefront of technological innovation, working collaboratively to bring research to life in our products and services. You'll gain expertise in cutting-edge research areas, apply advanced concepts to real-world needs, and use state-of-the-art tools to make a tangible impact on product quality and business outcomes. You'll contribute to the creation of intelligent solutions through data analysis, modeling, machine learning, and/or AI, LLM, SLM and agent, ensuring our products remain at the leading edge of innovation.
As an intern at Microsoft, you’re stepping into a world of real impact from day one. You’ll collaborate with global teams on meaningful projects, explore cutting-edge technologies like AI, and kick start your career while doing it. With a strong focus on learning and development, this is your opportunity to grow your skills, build community, and shape your future—all while being supported every step of the way.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate and empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Analyzes and improves performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications.
Thinks through the product scenarios and goals, identify key challenges, then fit the scenario asks into Machine Learning (ML) tasks, design experimental process for iteration and optimization.
Implements prototypes of scalable systems in AI applications. Gains an understanding of a broad area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members.
Prepares data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded and be able to describe actions taken to address data quality problems.
Assists with the development of usable datasets for modeling purposes and support the scaling of feature ideation and data preparation.
Helps take cleaned data and adapt for machine learning purposes, under the direction of a senior team member.
Qualifications
Required Qualifications:
Currently pursuing a Bachelor's or Master's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
Must have at least one additional quarter/semester of school remaining following the completion of the internship.
Preferred Qualifications:
Currently pursuing a Master’s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
Passion for building AI experiences and an understanding of how AI tools and technologies can be applied to improve relevance, discovery, personalization, and end-user satisfaction.
#EiP
The base pay range for this internship is USD $5,690.00 - $11,210.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7,410.00 - $12,250.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
Applied Data Scientist Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
Tips for Your Applied Data Scientist Internship Search
Apply months before the internship starts
Large employers open their summer applied data scientist intern recruiting the preceding fall, and cohorts fill before most students start looking. Smaller companies and co-ops post closer to start dates, so set a recurring reminder to check listings through the fall and spring rather than waiting for a single season.
Build a portfolio before you polish your resume
At the intern level, recruiters know you don't have years of work history. What they look for instead is evidence you can do the work. Build two or three end-to-end projects, document your methodology and findings clearly, and publish the code to a GitHub repository with a readable README so reviewers can assess your thinking directly.
Work your campus network and apply directly at the same time
Campus career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Apply directly to companies running smaller cohorts at the same time, combining both channels gives you access to more opportunities than either approach alone.
Practice the technical screen out loud before you apply
Applied data scientist intern interviews typically include a coding screen on data structures and algorithms, an analytics or SQL problem, or both. Practice solving problems aloud and explaining your reasoning as you go, since interviewers weigh how you think through a problem as much as whether you reach the right answer.
Target structured intern programs built for new entrants
Many larger employers run cohort-based data science internship programs designed specifically for people entering the field, with structured mentorship, rotation across teams, and defined project scopes. These programs recruit early and fill fast, so identify the ones that fit your background and apply in the first wave.
Set your work-type filter before you start
On-site roles are 46% of the applied data scientist internships listed here. Decide what you can realistically commit to before you start sorting through listings, then filter by location and work type on Migrate Mate so every role you spend time on is one you can actually take.
Applied Data Scientist Internships: Frequently Asked Questions
How do I get an applied data scientist internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. For applied data scientist candidates, a GitHub repository with documented, end-to-end projects gives recruiters something concrete to assess. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an applied data scientist internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For applied data scientist interns, what drives it most is performance on real project work, available headcount on the team, and how early you have the return-offer conversation. Treat it as a possibility worth working toward, not an outcome you can count on.
When should I apply for applied data scientist internships?
Earlier than most expect. Large tech and finance employers recruit summer applied data scientist interns the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Checking listings regularly means you won't miss roles that open and fill within a few weeks.
Are applied data scientist internships paid?
Most professional applied data scientist internships in the U.S. are paid. Compensation varies by company size, industry, and location. Listings show pay where the employer discloses it, so you can compare opportunities directly as you search.
What should an applied data scientist internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and methods you used and link to the work, a GitHub repository with clean, readable code and published analyses is the most credible proof for applied data scientist candidates. Add relevant coursework, keep the whole document to one page, and put projects above experience.
Are there remote applied data scientist internships?
Yes. Remote and hybrid roles make up 54% of the applied data scientist internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early and filter by work type to see them before they close.
Can international students get applied 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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