Applied Science Phd Internship Opportunities

4 days ago

London, United Kingdom Microsoft Full time

**Start Date**: July 2026

**Contract Type**: Internship (40hrs/week)
**Duration**: 12-weeks

**Location**: London

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.

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.

**Responsibilities**:

- Think through the product scenarios and goals, identify key challenges, then fit the scenario asks into Machine Learning (ML) tasks, design experimental process for iteration and optimization.
- Gain an understanding of a broad area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members.
- Prepare data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded and be able to describe actions taken to address data quality problems.
- Assist with the development of usable datasets for modeling purposes and support the scaling of feature ideation and data preparation.
- Help take cleaned data and adapt for machine learning purposes, under the direction of a senior team member

**Qualifications**:
**Required Qualifications**
- Currently pursuing a Doctorate Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- Must have at least one additional quarter/semester of school remaining following the completion of the internship
- Fluency in English.
- You must be legally authorised to work in the United Kingdom to be eligible for this role. (Legally authorised = has citizenship or has been granted a valid visa or work permit)

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