
Microsoft is inviting university interns from around the world to work on meaningful projects, explore their interests, and develop their skills. This internship provides an opportunity to contribute ideas and solutions while working with advanced technologies.
As a Data Science Intern, you will apply machine learning, statistics, experimentation, and related techniques to improve products and deliver business impact. The role involves collaborating with stakeholders, solving business and engineering problems using algorithms and data, and combining analytical and engineering capabilities to improve customer experiences.
Interns at Microsoft work on real-world projects with global teams and gain exposure to innovative tools, methods, and technologies used across Microsoft products and services.
Applications will remain open for a minimum of five days and will continue to be accepted until the role is filled.
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Microsoft Corporation is a global leader in technology, founded in 1975 by Bill Gates and Paul Allen. Headquartered in Redmond, Washington, USA, the company develops, licenses, and supports a wide range of software products, services, and devices. Its flagship products include the Windows operating system, Microsoft Office productivity suite, and Azure cloud platform. With over 220,000 employees worldwide, Microsoft operates across numerous markets, serving consumers, enterprises, and governments with cutting-edge solutions in software, hardware, and cloud computing.
Microsoft's mission is "to empower every person and every organization on the planet to achieve more." The company has consistently maintained a dominant position in the global technology industry, recognized for innovation, scalability, and reliability. Recent achievements include advancements in artificial intelligence integration across its product portfolio, expansion of Azure's global infrastructure, and strategic acquisitions such as Activision Blizzard to strengthen its gaming division. Microsoft continues to be a key player in shaping the future of digital transformation, sustainability initiatives, and inclusive technology.
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