Data Science PhD Internship

4 Weeks ago • 1 Years + • Data Analyst

Job Summary

Job Description

Microsoft offers Data Science PhD Internship opportunities in London. Interns will use machine learning, statistics, and experiments to build and improve products. Responsibilities include formulating problem-solving approaches using algorithms and data sources, incorporating product functionality and customer perspectives, using data exploration techniques, interpreting analysis results, and collaborating with stakeholders to produce actionable insights. Interns will participate in peer review and learn innovative methods and tools. The internship runs from July 2025 to December 2025 and requires a PhD in a related field and legal authorization to work in the UK. Preferred qualifications include data science experience, teamwork skills, customer interaction experience, and programming proficiency in Python, R, or SQL.
Must have:
  • PhD in Data Science or related field
  • Legal authorization to work in the UK
  • Problem-solving using algorithms and data
  • Data exploration and analysis
  • Collaboration and stakeholder engagement
Good to have:
  • 1+ year data science experience
  • Experience with Python, R, or SQL
  • Teamwork in diverse, virtual teams
  • Customer collaboration
Perks:
  • Industry-leading healthcare
  • Educational resources
  • Product and service discounts
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

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.

 

As a Data Scientist PhD 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.

 

ISE is part of the Microsoft Industry and Partner Sales organization that focuses on delivering growth and share by providing market and sales leadership across industry, partner and enterprise segments, with end-to-end sales accountability. IPS accelerates revenue and share growth by empowering customers and partners to securely transform with Microsoft Cloud and AI. We drive business growth by creating new market opportunities, originating and accelerating strategic deals, increasing sales and consumption with industry solutions, co-innovating through engineering, maximizing enterprise customer engagement and enabling partner ecosystem transformation.

Qualifications

Required Qualifications (RQs)

  • Currently pursuing a PhD degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field.
  • Must graduate before the end of 2026
  • You must be legally authorised to work in the UK to be eligible for this role.
  • (Legally authorised = Has citizenship or has been granted a valid visa or work permit)

Preferred Qualifications: 

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
  • OR related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • Experience working as part of geographically dispersed, diverse, and virtual teams
  • Demonstrated ability to work with customers and collaborate across company boundaries
  • Experience with programming languages such as Python, R, or SQL.

 

Responsibilities

Program Duration: July 2025-December 2025 (Full - Time Internship)

 

  • 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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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