Microsoft just posted three separate internship openings for India, all dated June 30 – July 1, 2026. They’re in three genuinely different tracks, Software Engineering, Applied Sciences, and Data Science, and the eligibility bar is very different across them. Read the breakdown carefully before applying, since the Data Science role specifically requires a PhD, not a bachelor’s or master’s.
Quick Comparison: All Three Roles at a Glance
| Software Engineering Intern | Applied Sciences Intern | Data Science Intern | |
|---|---|---|---|
| Job Number | 200041085 | 200041777 | 200041778 |
| Posted | July 1, 2026 | June 30, 2026 | June 30, 2026 |
| Location | India, Multiple Locations | India, Multiple Locations | India, Multiple Locations |
| Work Mode | Fully on-site | Fully on-site | Fully on-site |
| Travel | Less than 25% | Less than 25% | Less than 25% |
| Minimum Degree | Bachelor’s/Master’s in CS or Engineering | Bachelor’s in Stats, CS, ECE, or related | Doctorate in Data Science, Maths, Stats, CS, or related |
| Focus | Software development, coding, product features | ML research, data modeling, AI prototypes | Data analysis, algorithms, customer insights |
Role 1: Software Engineering Intern
What You’ll Actually Be Doing
This is the most classic engineering internship of the three, you’ll be writing real code, solving real problems, and shipping real features alongside full-time Microsoft engineers. The responsibilities spell out a full engineering workflow: understanding user requirements, applying engineering principles to complex problems, incorporating best practices from internal teams and the broader industry, and reviewing developments proactively to improve product performance, reliability, and observability at scale.
One line in the JD worth paying attention to: “demonstrate skill in time management and completing software projects in a cooperative team environment.” This is Microsoft’s signal that they want someone who can operate without needing constant hand-holding not someone who needs daily direction on every task.
Eligibility
- Currently pursuing a Bachelor’s or Master’s in Computer Science, Engineering, or a related field
- At least one semester/term of study remaining after the internship ends
- One year of programming experience in any object-oriented language (Java, Python, C++, C# all qualify)
- Preferred (not mandatory): strong grasp of data structures and algorithms
Who Should Apply
If you’re a second or third-year undergraduate, or a first-year master’s student, with solid coding fundamentals and at least a year of programming under your belt this is your role. DSA prep (LeetCode medium-level) is the most practical thing you can do before the interview.
Apply: Microsoft Careers – Software Engineering Intern
Role 2: Applied Sciences Intern
What You’ll Actually Be Doing
This sits right at the intersection of research and engineering. Unlike the SWE intern who primarily builds and ships features, the Applied Sciences Intern will be working with large-scale datasets, implementing ML prototypes, and contributing directly to research that feeds into Microsoft’s AI products and services. Specific responsibilities include:
- Analyzing and improving advanced algorithms on large-scale datasets
- Fitting product/customer scenarios into Machine Learning task formulations, then designing experiments to iterate and optimize
- Implementing scalable AI system prototypes
- Preparing and cleaning data for modeling including identifying what to include, what to exclude, and how to handle data quality problems
- Helping adapt cleaned data for ML purposes under senior team guidance
The phrase “bring research to life in products and services” in Microsoft’s own description captures the role accurately this isn’t a pure research role and it isn’t a pure engineering role. It’s the bridge between the two.
Eligibility
- Currently pursuing a Bachelor’s in Statistics, Econometrics, Computer Science, Electrical Engineering, Computer Engineering, or a related field
- At least one additional quarter/semester of study remaining after the internship ends
- No prior ML work experience is explicitly required at the minimum level coursework and academic projects in ML/statistics count
Who Should Apply
If your academic focus has been on statistics, machine learning, or applied mathematics alongside CS fundamentals, and you want hands-on exposure to how ML actually gets built into real products rather than staying in a pure research environment this is the stronger fit over the SWE intern role.
Apply: Microsoft Careers – Applied Science Intern
Role 3: Data Science Intern
⚠️ Important: This Role Requires a Doctorate
Before reading further this internship’s minimum requirement is a Doctorate (PhD) currently in progress, not a bachelor’s or master’s. If you’re still in your undergraduate or master’s program, this specific role isn’t open to you. The preferred qualification adds a master’s degree as an alternative, but the required bar is explicitly doctoral. Apply to Role 1 or Role 2 instead.
What You’ll Actually Be Doing
For PhD candidates, this is a genuinely product-integrated data science role not a traditional research internship. You’ll be combining engineering capability with analytical skills to improve actual Microsoft products used by millions of customers. Specific responsibilities include:
- Formulating approaches to solve problems using well-defined algorithms and data sources
- Using data exploration to discover new questions and opportunities within a problem area
- Interpreting and validating results, then monitoring and iterating to continuously improve them
- Engaging directly with stakeholders to produce clear, actionable insights that influence product and service decisions
- Participating in peer review and acting on feedback while learning new methods, algorithms, and tools
The stakeholder-facing element here is notable: unlike most data science internships that keep interns mostly in notebooks and pipelines, this role explicitly expects you to communicate and present insights to influence real product decisions.
Eligibility
- Currently pursuing a Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field (required)
- At least one additional quarter/semester of study remaining after the internship ends
- Master’s degree in a related field is listed as a preferred alternative but the minimum is PhD-level enrollment
Who Should Apply
PhD students in quantitative fields (statistics, ML, operations research, economics, applied mathematics, CS) who want to apply their research skills to large-scale, real-world product problems at one of the world’s most data-rich companies.
Apply: Microsoft Careers – Data Science Intern
Stipend / Compensation
Microsoft India does not publish stipend figures in its internship listings. Based on publicly reported data, Microsoft India internships typically offer a monthly stipend in the range of ₹80,000–₹1,50,000 depending on the role and location, with the Applied Sciences and Data Science tracks generally at the higher end given the quantitative/research focus. Treat this as a market estimate confirm the actual figure directly with Microsoft’s recruiting team during your interview process.
Frequently Asked Questions
Yes, all three listings specify fully on-site work at Microsoft’s India locations, with less than 25% travel.
Yes, provided you have at least one year of programming experience in an object-oriented language this can come from academic projects, personal projects, or part-time work, not necessarily a formal job
The minimum requirement is a Doctorate currently in progress. A master’s degree is listed only as a preferred qualification, not a sufficient alternative to the doctoral requirement.
Microsoft’s careers portal generally allows multiple applications check each job listing’s application page for any specific restrictions before submitting.
This post is based on Microsoft’s official job listings (Job IDs 200041085, 200041777, 200041778) posted June 30 – July 1, 2026. Stipend figures are estimates based on publicly reported data. Confirm current availability and full details directly on Microsoft’s careers page before applying.

