Google Data Science PhD Internship 2027

The Google Data Science PhD Internship 2027 is designed for doctoral researchers interested in applying advanced statistical analysis, experimentation and quantitative methods to real-world technology and business challenges.

Google data scientists work with large datasets, experiments and quantitative research to support important product and business decisions.

Interns may contribute to research involving business dynamics, user behaviour, experimental analysis, statistical modelling and the development of innovative quantitative methods.

The internship is currently available through separate vacancies in London, Warsaw and Zürich. Specific teams and projects are matched according to candidates’ academic backgrounds, interests and relevant skills.

Interns must be available full-time for a minimum of 13 weeks during Summer 2027. Internships may begin in May, June or July 2027.

• Applicants must currently be enrolled in a PhD programme.
• The PhD programme should be located in the EMEA region.
• Relevant fields include Statistics, Biostatistics, Computer Science, Mathematics and Operations Research.
• Related technical fields involving experimental design and quantitative analysis may also be considered.
• The minimum qualifications refer to applicants in their penultimate year of PhD study.
• Applicants must have experience working with datasets.
• Applicants should have experience using Python, R, SAS, MATLAB or other statistical software.
• Applicants must have experience with statistical data-analysis methods.
• Relevant methods may include linear models, hypothesis testing, multi-level models and Bayesian methods.
• Applicants must be available full-time for at least 13 weeks during Summer 2027.
• Applicants must be located in the country of their selected internship during the programme.
• English proficiency is required unless otherwise stated.

Preferred qualifications include:

• Experience with causal inference methods.
• Experience producing research outputs such as peer-reviewed publications.
• Ability to begin the internship between May and July 2027.

• Professional data-science experience at Google.
• Exposure to large-scale datasets and experimental analysis.
• Opportunity to apply doctoral-level quantitative research skills.
• Experience using advanced statistical methods.
• Work on real-world technology and business challenges.
• Experience with quantitative and qualitative modelling.
• Exposure to international technology teams.
• Opportunity to contribute to projects aligned with academic background and skills.
• Career development within data science, research and technology.

Compensation varies by location.

The Warsaw vacancy currently displays:

PLN 192,000 + 0% bonus target

Applicants should prepare:

• Updated CV or résumé.
• Current or recent unofficial or official academic transcript.
• Transcript in English.
• Expected graduation date, including month and year, on the CV.
• Summer 2027 internship availability on the CV.

Google prefers PDF documents.

The vacancy highlights the following relevant qualifications:

• Relevant PhD education.
• Experience working with datasets.
• Experience using statistical software.
• Experience with statistical data-analysis methods.
• Causal inference experience as a preferred qualification.
• Peer-reviewed research output as a preferred qualification.
• Relevant academic background.
• Research interests.
• Technical and quantitative skills.
• Ability to complete the required internship duration.

Specific teams and projects may be matched according to the applicant’s educational background, interests and skills.

• Gain hands-on data-science experience at Google.
• Apply doctoral research skills to large-scale datasets.
• Develop experience with experimentation and quantitative analysis.
• Work on real-world technology and business challenges.
• Strengthen advanced statistical modelling skills.
• Gain experience within an international technology environment.
• Develop professional experience relevant to data science and research careers.
• Contribute to projects involving user behaviour, experimentation and quantitative research.