Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.

At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.

Job Designation : Software Engineer – Data Science Intern

Qualification : Bachelor’s Degree

Experience : Freshers

Skill Set :

1. Sound coding skills in languages C, C++, C#, Java, JavaScript, or Python.
2. Understanding of Computer Science fundamentals, data structures and  algorithms.
3. Solid programming expertise in an object-oriented language.
4. Good knowledge of data analytics and data science.
5. Expertise in Coding, Algorithm, High Performance Computing.
6. Good knowledge of operating systems, design patterns and related topics.
7. Ability to both work independently and coordinate across geographies.
8. Good communication skills both written and verbal.

Job Description :

As a Data Scientist Intern at Microsoft, you will use machine learning, statistics, experiments, and more to build and improve great products while making business impact. As a Data Scientist intern you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.

1. Formulate approaches to solve problems using well defined algorithms and data sources
2. Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
3. Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data.
4. Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
5. Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
6. Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.
7. Handle data at higher volume and efficiently process the data to solve the problem.
8. Understand existing code and functions, build solution on top and be able to integrate.

Location : Multiple Cities, India