Quick Highlights

Field	Details
Company Name	Microsoft India
Job Role	Data Science Intern
Experience	Students currently pursuing a degree
Qualification	Bachelor’s or Master’s degree in a relevant field
Skills Required	Machine Learning, Statistics, Algorithms, Python, Data Analytics
Job Location	Multiple locations across India
Expected Salary	Stipend not officially specified; verify on the careers portal
Last Date to Apply	Not specified

Job Overview

Microsoft India is offering an opportunity for students interested in data science, statistical analysis, and machine learning. The internship focuses on exploring data, developing analytical approaches, and generating insights that support product and business decisions.

• Job Number: 200041778
• Work Model: Fully on-site, as stated in the provided description.
• Opportunity: Gain practical experience in data science and collaborate with experienced professionals.

Eligibility Criteria/Qualification

I. Candidates must be currently pursuing a Bachelor’s or Master’s degree in Data Science, Mathematics, Statistics, Economics, Computer Science, Operations Research, Econometrics, or a related field.

II. Applicants must have at least one additional quarter or semester remaining after completing the internship.

III. Candidates should have a strong foundation in mathematics, statistics, analytical reasoning, and problem-solving.

IV. Applicants should be comfortable working in an on-site environment at the assigned Microsoft office location.

Required Skills (Must Have)

I. Knowledge of Machine Learning, Statistics, and mathematical concepts.

II. Understanding of algorithms, data analysis, and data structures or data architecture.

III. Familiarity with programming languages such as Python, R, or C++.

IV. Ability to interpret data, validate findings, and communicate insights clearly.

V. Knowledge of analytical platforms or cloud services such as Microsoft Azure or AWS is an added advantage.

Batch

I. Open to students currently pursuing a relevant Bachelor’s or Master’s degree.

II. Applicants must have at least one semester or quarter remaining after the internship.

III. Specific eligible graduation years or batches have not been confirmed in the provided job description.

What Will You Do? (Responsibilities)

I. Develop algorithmic approaches to solve problems using structured and unstructured data.

II. Explore datasets to identify patterns, opportunities, and potential limitations.

III. Analyze results, validate findings, and convert data into actionable insights.

IV. Understand product functionality and consider customer needs when interpreting data.

V. Participate in peer reviews, incorporate feedback, and improve analytical methods.

Expected Salary & Perks

I. Expected stipend: The official monthly stipend has not been confirmed. Check the Microsoft Careers listing for accurate compensation details.

II. Industry exposure: Work on data science problems in a global technology environment.

III. Professional development: Improve analytical, programming, and problem-solving skills.

IV. Networking opportunities: Learn from experienced professionals and fellow interns.

V. Career growth: Build practical experience relevant to future data science and machine learning roles.

Selection Process

I. Resume Screening: Applications may be reviewed for educational eligibility, relevant skills, and project experience.

II. Online Assessment: Candidates may be evaluated on programming, mathematics, statistics, and analytical reasoning.

III. Technical Interviews: Discussions may cover algorithms, machine learning concepts, data interpretation, and structured problem-solving.

IV. Managerial/HR Interview: Candidates may be assessed on communication, adaptability, collaboration, and learning mindset.

Note: The exact selection stages may vary. Confirm the process through the official recruitment portal.

How To Apply

I. Visit the official Microsoft Careers website.

II. Search for job number 200041778 or the title Data Science Intern.

III. Review the official eligibility requirements, work location, internship duration, and compensation details.

IV. Select the relevant opening, click Apply, and sign in or create an account if required.

V. Complete the application and submit an updated resume highlighting relevant academic projects, programming skills, and data science experience.