Google Data Science PhD Internship 2027

Google is offering its Data Science PhD Internship 2027 in London for doctoral students interested in advanced statistical analysis, quantitative research and data-driven technology. The internship is designed for students enrolled in accredited full-time PhD programmes in the Europe, Middle East and Africa (EMEA) region.

Google's data scientists work within its software engineering organisation, contributing to products and services such as Google Search, YouTube and Google Ads. Interns may work with large datasets, analyse user behaviour, conduct research and develop quantitative models that help teams understand business dynamics and technological performance.

The programme also introduces participants to experimentation, data interpretation and research methods used to support decisions involving large-scale digital services.

Selected interns will be matched with specific teams and projects according to their educational background, interests and technical capabilities.

Internship Responsibilities

Google identifies the following responsibilities:

• Research Google's business models and search techniques.
• Develop quantitative and qualitative models.
• Analyse business dynamics and user behaviour.
• Identify areas requiring further investigation.
• Explore innovative approaches to data analysis.

The internship requires full-time availability for at least 13 weeks during summer 2027. Participants must be physically located in the United Kingdom throughout the internship.

• Be currently enrolled in a PhD programme.
• Study Statistics, Biostatistics, Computer Science, Mathematics, Operations Research or a related technical discipline.
• Have a doctoral programme involving experimental design and quantitative analysis of experimental data.
• Be in the penultimate year of PhD study, according to the listed minimum qualifications.
• Be enrolled at an accredited institution offering a full-time PhD programme in the EMEA region.
• Have experience working with datasets using Python, R, SAS, MATLAB or another statistical software package.
• Have experience with statistical analysis methods, such as linear models, hypothesis testing, multilevel models or Bayesian methods.
• Be able to work full-time for the internship period.
• Be located in the United Kingdom throughout the programme.
• Meet Google's general English-language proficiency requirement.

The confirmed opportunity offers:

• Practical experience in data science within Google.
• Exposure to research and experimentation involving large-scale digital services.
• Opportunities to analyse real-world datasets.
• Experience developing quantitative and qualitative models.
• Collaboration with teams working in software engineering and data science.
• Professional exposure to Google's analytical and research environment.
• Practical application of doctoral research skills.
• Experience relevant to future research and data science careers.

Compensation and Financial Support

The official vacancy does not specify:

• Exact salary or stipend.
• Monthly or hourly compensation.
• Accommodation allowance.
• Travel or flight reimbursement.
• Relocation assistance.
• Visa sponsorship or immigration support.

Google explicitly requests:

• Updated CV or résumé.
• Current or recent official or unofficial academic transcript in English.
• Expected PhD graduation date, including month and year.
• Availability for the internship.

Submission Requirements

• Upload the CV in the Resume section.
• Upload the transcript in the Education section.
• Select "Now attending" under Degree Status.
• Include the expected graduation date and internship availability in the CV.
• PDF documents are preferred.

• Current enrolment in a suitable doctoral programme.
• Relevant quantitative and statistical research background.
• Experience using Python, R, SAS, MATLAB or comparable software.
• Knowledge of statistical data analysis.
• Experience with causal inference, where available.
• Peer-reviewed publications or other intellectual contributions, where available.
• Availability for the required internship period.
• Alignment of academic background, interests and skills with available teams.

• Gain data science research experience at Google.
• Apply doctoral research methods to real-world problems.
• Develop statistical modelling and analytical skills.
• Explore research connected to Search, YouTube and Google Ads.
• Gain experience with large-scale data and experimentation.
• Work in a professional software engineering environment.
• Strengthen technical experience for future research careers.
• Understand how data science informs technology decisions.