Data Science: PhD Internship Opportunities - Redmond

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.

Data Scientist PhD Interns at Microsoft, you will use machine learning, statistics, experiments, and/or AI, LLM, SLM and agents 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.

As an intern at Microsoft, you’re stepping into a world of real impact from day one. You’ll collaborate with global teams on meaningful projects, explore cutting-edge technologies like AI, and kick start your career while doing it. With a strong focus on learning and development, this is your opportunity to grow your skills, build community, and shape your future—all while being supported every step of the way.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate and empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Please note this application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please see our Careers site.

Responsibilities

• Formulate approaches to solve problems using well defined algorithms and data sources.

• Incorporate an understanding of product functionality and customer perspective to provide context for those problems.

• Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data.