Microsoft India Recruitment 2026: Data Science Intern (Multiple Locations)

< -->

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.