Applications for this job are now closed
Applications for this internship will open on 18th September, 2023.
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):
- In the “Resume Section:” attach an updated CV or resume
- 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.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland; Paris, France; Budapest, Hungary.
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.
This internship is intended for students in their penultimate year of an accredited full-time degree program in the EMEA region who will be returning to their degree program after the completion of the internship. Participation in the internship program requires that you are located in one of the specific country locations identified for this role 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 2024 for the duration of the program.
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.
Qualifications
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
- Currently in the penultimate year of a PhD degree.
- Experience with causal inference methods.
- Experience developing intellectual capital such as peer-reviewed publications.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
