Internship
Data Science PhD Intern, 2027
Please complete your application before 23rd October 2026. We encourage you to apply as early as possible as we review applications on a rolling basis.
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 Switzerland 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.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):
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In the “Resume Section:” attach an updated CV or resume
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In the “Education Section:” attach a current or recent unofficial or official transcript in English. Under “Degree Status,” select “Now attending” to upload a transcript.
Please include your expected graduation date (month and year), and availability for the internship on your resume. The specific team and project(s) will be determined based on your educational background, interest and skills.
Minimum qualifications:
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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.
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Experience working with datasets using Python, R, SAS, MATLAB, or other statistical software.
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Experience with methods of statistical data analysis (e.g., linear models, hypothesis testing, multi-level models, Bayesian methods, etc.).
Preferred qualifications:
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Experience with causal inference methods.
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Experience developing intellectual capital such as peer-reviewed publications.
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Ability to complete a minimum 13 weeks internship in Switzerland 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
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Provide research on topics including Google's business model and search techniques.
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Produce quantitative and qualitative modeling of business dynamics, user behavior, and more.
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Identify areas for further investigation as well as creating innovative methods of analysis.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
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