Data Science Internship Opportunities
Microsoft
Hybrid 🏡🏢 New 🔥🔥
Data Science & AI/ML
Tel Aviv, Israel 🇮🇱
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.
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.
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.
Qualifications
Required Qualifications
Currently pursuing a Master's/PHD in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
- Must have at least 3 additional semesters of school remaining (graduation date 2027 or after)
Coding experience (preferably python) and/or AI/ML related research work.
Preferred Qualifications
- Ability to work as part of a team, contributing to other people’s tasks and consulting with colleagues over your tasks
- Strong capabilities in solving complex problems and integrating engineering skills with analytical thinking to enhance user experiences.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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.
- Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
- Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
- 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
- Work with advanced AI models to improve the quality, relevance, and impact of AI-powered features, staying current with the latest advancements in AI and using the most up-to-date OpenAI and MS models.
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