Data Science PhD Intern, 2027

GOOGLE; Greater London; On-site; GBP 20,000 - 33,000; Full time

Job summary

Google offers an internship for penultimate/final year PhD students (UK-based) with full-time availability for 13 weeks over Summer 2027 (May–July). The role adapts to your background with projects in statistics, data analysis, and software engineering support.

Interns work on quantitative/qualitative modeling of business dynamics and user behavior, contributing to innovative analysis methods within Google’s data science context.

Qualifications

• Currently enrolled in a PhD program and in your penultimate or final year.
• Experience with datasets and statistical software (Python, R, SAS, MATLAB).
• Familiarity with methods of statistical data analysis (linear models, hypothesis testing, Bayesian methods, etc.).

Responsibilities

• Provide research on topics including Google's business model and search techniques.
• Produce quantitative and qualitative modeling of business dynamics and user behavior.
• Identify areas for further investigation and develop innovative analysis methods.

Skills

Experimental design

Quantitative analysis

Statistical modeling

Data storytelling

Education

PhD student in Statistics/CS/Math

Tools

Python

R

SAS

MATLAB

Job description

This internship is intended for students enrolled in their penultimate/final year of studies in an accredited full-time PhD degree program located in the EMEA region. Participation in the internship program requires that you are located in the UK for the duration of the internship program. Interns will be required to be available to work full-time for a minimum of 13 weeks over the Summer 2027 (starting in May, June or July) for the duration of the program.

The specific team and project(s) will be determined based on your educational background, interest and skills.

Minimum qualifications:

• Currently enrolled in a PhD program in Statistics, Biostatistics, Computer Science, Mathematics, Operations Research, or a related technical field involving experimental design and quantitative analysis of experimental data, and in your penultimate year of study.
• Experience working with datasets using Python, R, SAS, MATLAB, or other statistical software.
• Experience with methods of statistical data analysis (e.g., linear models, hypothesis testing, multi-level models, Bayesian methods, etc.).

Preferred qualifications:

• Experience with causal inference methods.
• Experience developing intellectual capital such as peer-reviewed publications.
• Ability to complete a minimum internship 13 weeks in the UK starting between May-July 2027.

About the job

Google's data scientists work within our Software Engineering organization, including Search, YouTube, and Google Ads. We analyze sets of data and continually run live experiments in order to help drive critical decisions at Google. Specifically, we support the development of innovative, highly scalable, next-generation technologies through research and advanced analysis.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

Responsibilities

• Provide research on topics including Google's business model and search techniques.
• Produce quantitative and qualitative modeling of business dynamics, user behavior, and more.
• Identify areas for further investigation as well as creating innovative methods of analysis.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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