Microsoft is hiring for a Data Science Internship. This article explains the role’s core responsibilities and the academic requirements candidates must meet. You’ll read a detailed breakdown of day-to-day tasks — from formulating algorithmic approaches and exploring data to validating analyses and engaging stakeholders — and the specific educational fields and enrollment condition required for eligibility and expectations.
What you’ll do as a Data Science Intern
The internship centers on applying rigorous, data-driven approaches to product and customer problems. Responsibilities include:
- Formulate approaches: Develop strategies to solve problems by selecting and applying well-defined algorithms and appropriate data sources, ensuring that solutions are grounded in repeatable methods.
- Incorporate product and customer perspectives: Integrate an understanding of product functionality and the customer viewpoint into analytical approaches so outcomes remain relevant to real-world use.
- Data exploration: Use exploration techniques to uncover new questions or opportunities; assess what the data can and cannot support by evaluating applicability and limitations.
- Interpretation and iteration: Interpret and validate analysis results, monitor performance, and iterate on methods to improve outcomes over time.
- Stakeholder engagement: Work with stakeholders to translate findings into actionable insights that can impact products and customer experiences.
- Peer review and learning: Participate in peer review cycles and continually learn new methods, algorithms, and tools to strengthen analysis and solutions.
Eligibility and academic expectations
To be eligible for the internship, candidates must be actively pursuing a relevant degree and have remaining enrollment beyond the internship period:
- Relevant fields: Currently pursuing a Bachelor’s or postgraduate degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field.
- Enrollment requirement: You must have at least one additional quarter or semester of school remaining after the internship concludes.
In summary, the Microsoft Data Science Internship asks candidates to apply algorithmic thinking and data exploration while aligning analyses with product and customer needs, engaging stakeholders, and participating in peer learning. Eligible applicants should be enrolled in one of the listed degree programs and must remain enrolled for at least one quarter or semester after the internship ends. This role emphasizes rigorous methodology, stakeholder impact, and continuous learning.
