Data Science PhD Intern, 2027 Overview
| Company Name | |
| Job Role | Data Science PhD Intern, 2027 |
| Qualifications | PhD |
| Category | IT Jobs |
| Job Type | Internship |
| Location | London |
This internship is for a PhD student who wants to apply data science, experimentation, and statistical analysis to real product and business problems at Google. The role sits within Googleâs Software Engineering organization, where data scientists support areas such as Search, YouTube, and Google Ads by analyzing data, running live experiments, and helping guide important decisions. The work is focused on research and advanced analysis that contributes to innovative, highly scalable technologies.
What you will do
- Investigate topics connected to Googleâs business model and search methods.
- Create quantitative and qualitative models that help explain business behavior, user behavior, and related dynamics.
- Find promising directions for deeper study and design new ways to analyze data.
- Support research and experimentation that informs decisions across Google products and technologies.
- Work in an environment where data analysis and live experiments are used to improve products and services at scale.
Who this internship is for
This opportunity is aimed at students in the penultimate year of an accredited full-time PhD program in the EMEA region. The degree should be in Statistics, Biostatistics, Computer Science, Mathematics, Operations Research, or a similar technical field that involves experimental design and quantitative analysis of experimental data.
To participate, you must be based in the UK for the entire internship period. The internship requires full-time availability for a minimum of 13 weeks during Summer 2027, with the start date falling in May, June, or July.
Minimum qualifications
- Current enrollment in a relevant PhD program, with penultimate-year status.
- Hands-on experience working with datasets using Python, R, SAS, MATLAB, or another statistical software package.
- Practical experience with statistical analysis methods such as linear models, hypothesis testing, multilevel models, Bayesian methods, or similar techniques.
Preferred qualifications
- Experience with causal inference methods.
- Experience producing intellectual contributions such as peer-reviewed publications.
- Ability to complete a 13-week internship in the UK beginning between May and July 2027.
Application instructions
Applicants should submit an updated CV or resume and a current unofficial or official transcript in English. The application should be started through the Apply button on the posting, and the requested documents should be uploaded in the relevant sections, with PDFs preferred.
- In the resume section, upload an updated CV or resume.
- In the education section, upload a current or recent unofficial or official transcript in English.
- When selecting degree status, choose âNow attendingâ in order to upload the transcript.
- Include your expected graduation month and year, as well as your internship availability, on your resume.
Additional context
The exact team and project assignment will be decided based on your academic background, interests, and skills. Google also notes that English proficiency is required for all roles unless the posting explicitly says otherwise.
Google states that it is an equal opportunity and affirmative action employer and that it is committed to building a workforce that reflects the users it serves. The company also provides information about accommodations for applicants and notes that it does not accept agency resumes.
Degree Requirement: PhD
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To apply for this job please visit www.google.com.