About this role

Overview 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.   <div>As a Data Scientist Intern at Microsoft, you will combine applied AI, engineering, and scientific experimentation to build intelligent systems. Your work will focus on developing autonomous AI agents, evaluating large language models (LLMs), and automating research workflows. You will design experiments and apply statistical methods to assess and improve AI systems, accounting for the variability and uncertainty inherent in their non-deterministic behavior. </div><div>Working with researchers, engineers, product teams, and other stakeholders, you will translate customer and business needs into practical solutions and measurable outcomes. You will combine analytical rigor with hands-on development to build prototypes and evaluation frameworks that improve the quality, reliability, and usefulness of AI-powered experiences. </div><div>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. 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 to 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. </div> Responsibilities <div><div><ul style="list-style-type: disc;"><li>Develop and improve autonomous AI agents and research workflow automations using LLMs, relevant algorithms, and appropriate data sources. </li></ul></div><div><ul style="list-style-type: disc;"><li>Explore emerging AI techniques, propose new ideas, and build proofs of concept (POCs) to assess their feasibility, potential value, and limitations. </li></ul></div><div><ul style="list-style-type: disc;"><li>Design experiments and evaluation frameworks for LLMs and AI agents, applying statistical methods to measure quality and reliability while accounting for non-deterministic behavior. </li></ul></div></div><div><div><ul style="list-style-type: disc;"><li>Explore data, analyze experimental results, and investigate failure modes to identify opportunities, validate approaches, and iteratively improve AI systems. </li></ul></div><div><ul style="list-style-type: disc;"><li>Communicate findings, limitations, and technical trade-offs clearly, providing actionable insights that inform product and engineering decisions. </li></ul></div><div><ul style="list-style-type: disc;"><li>Collaborate with researchers, engineers, product teams, and other stakeholders to translate customer and business needs into opportunities to enhance products and customer experiences through applied AI.</li></ul>**This student position is structured as a one-and-a-half-year role, concluding upon completion of the academic degree. </div></div> Qualifications <ul><li>Currently pursuing a Master’s degree in Data Science related fields:, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.</li><li>At least 3 additional semesters before graduation – graduation date Winter 2028 or later.</li><li> knowledge of or experience working with Large Language Models (LLMs), including areas such as fine-tuning, modeling, evaluation, frontier models, or specialized models.</li><li> Hands-on experience writing code in a production environment and working with code repositories (e.g., Git).</li></ul>Preferred Qualifications:<ul><li>Currently pursuing a PhD in Data Science related fields: Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field </li></ul> This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>