Microsoft periodically opens Data Science Intern roles for university students in India. One current posting (Job number 200041778, dated 8 October 2026) seeks interns across multiple locations on a fully on-site basis. The role sits in the Research, Applied, & Data Sciences organisation and focuses on using machine learning, statistics, experimentation, and data analysis to improve products and services that reach millions of customers.
This article summarises the official requirements and responsibilities drawn from the Microsoft Careers listing, adds practical preparation guidance for students, and stresses the importance of verifying every detail on the official site before applying. Internship dates, exact start periods, stipend, and final eligibility nuances can change; always treat the live Microsoft Careers page as the single source of truth.
Quick Overview
| Detail | Information |
|---|---|
| Company | Microsoft |
| Role | Data Science INTERN |
| Job number | 200041778 |
| Location | India – Multiple Locations |
| Work site | Fully on-site |
| Travel | Less than 25% |
| Profession / Discipline | Research, Applied, & Data Sciences / Data Science |
| Employment type | Internship |
| Date posted | 8 October 2026 |
| Application window | Open for a minimum of 5 days; applications accepted on an ongoing basis until the position is filled |
| Official careers site | https://careers.microsoft.com/ (search “Data Science Intern” + India) |
What the Role Involves
Data Science Interns at Microsoft work on real product and business problems rather than purely academic exercises. According to the official description, you will:
- Formulate approaches to solve problems using well-defined algorithms and data sources.
- Incorporate an understanding of product functionality and customer perspective.
- Use data exploration techniques to discover new questions or opportunities and assess the applicability and limitations of the data.
- Interpret analysis results, validate approaches, and iterate to improve outcomes.
- Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements.
- Participate in the peer-review process, act on feedback, and learn innovative methods, algorithms, and tools.
Projects vary by team. Expect a mix of exploratory analysis, experimentation, statistical modelling, and communication of findings to cross-functional partners. The emphasis is on rigorous reasoning, honesty about data limitations, and delivering insights that can actually guide decisions.
Eligibility Criteria (Official)
Required Qualifications
- Currently pursuing a Bachelor’s or Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a 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 one of the fields listed above.
The remaining-semester requirement is strict. Students who will graduate before or immediately after the internship ends generally do not meet the criterion. Always confirm the exact wording on the live job page, as Microsoft updates postings periodically.
Note that broader Microsoft university internship eligibility guidance for India sometimes references pre-final-year status or additional remaining academic time for certain programmes. For this specific Data Science Intern posting, follow the qualifications stated on the job itself.
Skills and Preparation That Help
Microsoft does not list mandatory programming languages or tools in this posting. Strong candidates typically demonstrate:
- Solid foundation in statistics, probability, and experimental design.
- Comfort with data exploration, cleaning, and visualisation.
- Ability to formulate clear analytical questions and explain both findings and limitations.
- Experience applying machine learning or statistical methods on real or academic datasets (course projects, personal projects, research, Kaggle, etc.).
- Clear written and verbal communication of technical results to mixed audiences.
Practical preparation steps
- Build or refine 2–3 well-documented projects that show end-to-end thinking (problem definition → data exploration → method → validation → insights and limitations).
- Practise explaining your work out loud: what you assumed, what the data could and could not support, and what you would do next with more time or better data.
- Review core statistical concepts (hypothesis testing, confidence intervals, bias-variance, basic causal thinking) and common pitfalls in observational data.
- Ensure your résumé clearly states your degree programme, expected graduation date, and remaining academic terms after a potential internship period.
- Prepare transcripts and any project portfolios so they are ready if requested during the process.
How to Apply
- Go to the official Microsoft Careers site: https://careers.microsoft.com/
- Search for “Data Science Intern” and filter by India / Multiple Locations (or use Job number 200041778 if still active).
- Open the listing and carefully re-read the full qualifications, responsibilities, and any location-specific notes.
- Confirm you meet the remaining-semester requirement.
- Complete the online application accurately. Upload an up-to-date résumé that highlights relevant coursework, projects, and analytical experience.
- Submit only through the official portal. Microsoft does not charge application fees.
Applications are accepted on an ongoing basis until the role is filled. The posting is open for a minimum of five days from the date it appeared.
Selection Process, Stipend, and Timeline
The official listing does not detail interview stages or stipend amounts. Typical Microsoft university internship processes often include résumé screening, technical or analytical assessments, and interviews focused on problem-solving and past project experience, but do not assume any specific sequence. Stipend information, if available, appears only on the official posting or during the offer stage—ignore third-party salary claims.
Internship start dates and duration are also confirmed only through the official process.
Important Quality and Accuracy Notes for Readers
- This summary is based on the Microsoft Careers posting as of mid-October 2026. Job details can change or the role can close at any time.
- Always apply and verify eligibility directly on careers.microsoft.com. Third-party job aggregators sometimes lag or add unverified information.
- Microsoft is an equal opportunity employer. All qualified applicants receive consideration without regard to protected characteristics under applicable law.
- No payment is ever required to apply for a Microsoft internship. Treat any request for money as a red flag.
Final Advice for Strong Applications
Focus on evidence of careful analytical thinking rather than long lists of tools. Microsoft looks for people who can turn messy real-world data into reliable insights while clearly communicating uncertainty. A well-documented project that shows you questioned your own assumptions often carries more weight than a flashy but shallow portfolio.
If you meet the academic criteria and have remaining coursework after the internship, this is a high-quality opportunity to work on production-relevant data science problems at scale. Check the live listing today, prepare your materials carefully, and apply through the official channel only.
Official link to start: https://careers.microsoft.com/ (search Data Science Intern + India) or navigate directly via the current job number if still active.
Last verified against the official posting: 19 October 2026. Always re-confirm on Microsoft Careers before taking any action.
Source: Supplied vacancy details and Microsoft Careers
Last verified: 19 October 2026; live vacancy not independently confirmed
Updated date: 19 October 2026
Article reviewed by: Karthik Patel
Recruitment status: Active
Official recruitment website: https://careers.microsoft.com/
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