Technology leader Microsoft has posted an opening for a Data Science Intern within its Research, Applied, & Data Sciences division. This is a prestigious, premium internship track available across multiple corporate locations in India (including premier tech hubs like Bengaluru and Hyderabad).
Operating as a Fully On-site individual contributor role, this internship places students directly onto active, enterprise-scale engineering and product teams. It serves as an elite bridge connecting high-level academic theory with real-world product impact.
Microsoft Data Science Internship: Overview
| Attribute | Details |
| Company | Microsoft India |
| Job Number | 200041778 |
| Job Role | Data Science Intern |
| Job Locations | Multiple Locations, India (Bengaluru, Hyderabad, Noida, etc.) |
| Work Mode | Fully On-site |
| Profession | Research, Applied, & Data Sciences |
| Discipline | Data Science |
| Employment Type | Internship (Typically 12 Weeks) |
| Travel Expectations | Less than 25% |
| Application Window | Ongoing baseline (Open for a minimum of 5 days from June 30, 2026) |
💰 Stipend Insights: Based on active 2026 internship trends for postgraduate and doctoral tiers at Microsoft India, the expected monthly stipend typically ranges from ₹1,00,000 to ₹2,500,000, accompanied by premium corporate perks, networking events, and direct mentorship from senior data scientists.
Core Roles & Responsibilities
Microsoft interns do not work on simulated tasks. You will be fully embedded into production-level projects across devices, operating systems, and cloud ecosystems:
- Problem Formulation: Use well-defined algorithms and massive analytical data pools to frame actionable approaches to complex business and engineering problems.
- Data Exploration & Analysis: Apply advanced exploratory data techniques to isolate hidden trends, discover product optimization opportunities, and actively outline the bounds and limitations of available datasets.
- Experimental Iteration: Interpret statistical analysis results, validate predictive methodologies, and establish monitoring patterns to continuously iterate and refine live features.
- Strategic Insights: Interface directly with cross-functional engineering and product stakeholders to deliver clean, undeniable, and compelling data insights that alter how millions of global users experience Microsoft services.
- Peer Evaluation: Participate actively in internal peer review loops, accepting structural feedback while learning innovative internal modeling algorithms and tools.
Academic Eligibility & Requirements
This specific job code operates as an advanced-tier quantitative track, prioritizing deep academic research backgrounds.
Mandatory Minimum Requirements:
- Enrolled Degree Type: You must be currently pursuing a Doctorate Degree (Ph.D.) in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a closely integrated quantitative discipline.
- Academic Continuity: Must have at least one additional quarter or semester of university registration remaining following the absolute completion date of the internship.
Preferred Qualifications:
- Candidates currently pursuing a Master’s Degree (M.Tech/M.S.) in Data Science, Statistics, Mathematics, Econometrics, or Computer Science with exceptional structural project portfolios are also highly encouraged to apply.
Highly Valued Industry Skills:
Historical data from previous successful hires highlights a preferred familiarity with:
- Machine Learning algorithms & Statistical modeling.
- Strong foundational syntax capabilities in Python, R, or C++.
- Data manipulation engines and structured query layers (SQL).
- Familiarity with foundational cloud structures (Microsoft Azure / AWS) and experimental analytics (A/B Testing).
Step-by-Step Selection Strategy
1.Incorporate Advanced Research and Analytics Keywords:Frame your profile for high-level data pipelines.
Automated processing engines read profiles for advanced technical capability. Explicitly format your resume to highlight Machine Learning, Predictive Modeling, Experimental Design, Statistical Inference, Python/R, and specific dissertation or master’s project focus areas.
2.Submit Directly Through the Microsoft Portal:Reference Job ID: 200041778.
Head over to the Microsoft Careers dashboard. Submit your resume directly against the active Job ID: 200041778. Apply immediately, as high-demand tech internships evaluate applicants on a continuous rolling basis until filled.
3.Prepare for Algorithmic and System-Scenario Interview Loops:Review algorithm design and core model math.
Expect multiple interview rounds focusing heavily on your core algorithmic reasoning, open-ended business scenario analytics, data quality assessment, and the underlying mathematical properties of the ML models you utilize in your academic research.