The Microsoft Data Science Intern role is a prestigious opportunity for students who are passionate about data, machine learning, statistics, and real-world problem solving. This fully on-site internship in Bangalore, Karnataka, allows interns to work on impactful projects that influence millions of users across Microsoft’s global products and services 🌍
As a Data Science Intern, you’ll collaborate with engineers, product managers, and business stakeholders while applying analytical and engineering skills to solve complex challenges.
About Microsoft
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. With a culture built on growth mindset, respect, integrity, and accountability, Microsoft fosters innovation while creating an inclusive environment where everyone can thrive.
Microsoft interns work on real-world projects, contribute directly to live products, and engage with teams across the globe. This internship is designed to help students explore their passions, grow professionally, and build a strong foundation for a future career in technology 🚀
Internship Overview
As a Data Scientist Intern, you will use machine learning, statistics, experimentation, and data analysis to improve Microsoft products and customer experiences. The role blends analytical thinking with engineering execution, allowing you to see how data-driven decisions shape large-scale systems.
Interns are treated as full contributors, not observers, and are encouraged to bring new ideas, ask questions, and innovate.
Key Responsibilities
- Formulate approaches to solve problems using well-defined algorithms and data sources
- Apply understanding of product functionality and customer perspectives to data problems
- Perform data exploration to identify new questions, trends, and opportunities
- Analyze, validate, and interpret results to ensure accuracy and impact
- Monitor outcomes and iterate continuously to improve solutions
- Collaborate with stakeholders to deliver clear, actionable insights
- Influence product and service improvements impacting millions of users
- Participate in peer reviews and act on constructive feedback
- Learn and apply innovative data science methods, tools, and algorithms
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Skills & Qualifications
Required Qualifications
- Currently pursuing a Bachelor’s degree in:
- Data Science
- Mathematics
- Statistics
- Econometrics
- Economics
- Operations Research
- Computer Science
- Or a related field
- Must have at least one additional semester/quarter remaining after the internship
Desired Skills
- Strong analytical and problem-solving abilities
- Interest in machine learning, experimentation, and statistics
- Ability to translate data insights into business and product impact
- Good communication skills to present findings clearly
- Curiosity and willingness to learn in a fast-paced environment
Who Can Apply
| Criteria | Details |
|---|---|
| Role | Data Science Intern |
| Company | Microsoft |
| Education | Bachelor’s Degree (Pursuing) |
| Job Type | Internship |
| Work Mode | Fully On-Site |
| Location | Bangalore, Karnataka, India |
Expected Stipend 💰
The expected stipend for Microsoft Data Science Intern in India is:
- ₹70,000 – ₹1,20,000 per month (approx.)
Actual stipend may vary depending on academic background, internship duration, and Microsoft’s internal policies.
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Work Location & Internship Model
- Location: Bangalore, Karnataka, India
- Work Site: Fully On-Site
- Internship Type: University Internship
This role is ideal for students who want hands-on exposure to industry-scale data science projects in a collaborative office environment.
What You’ll Gain 🎯
- Hands-on experience with real Microsoft products and data
- Exposure to machine learning, experimentation, and analytics at scale
- Collaboration with global teams and experienced data scientists
- Mentorship and peer learning opportunities
- Strong foundation for future full-time roles in data science or analytics
How to Apply
Interested candidates should apply by clicking the Apply button below.
Before applying:
- Highlight coursework in data science, statistics, or machine learning
- Mention academic, internship, or personal data projects
- Showcase programming, analytical, or experimental work
- Keep your resume concise and results-focused
Early applications are highly recommended 👨💻👩💻
Disclaimer
This job information is collected from official and public sources. We do not charge any fees for job applications and do not guarantee recruitment. Candidates should verify details from the official company website. We are not responsible for any loss arising from reliance on this information.
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