Data Scientist Product MS Intern, 2027 - Google Careers
First seen by Alion on Oct 2, 2026.
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Please complete your application before 13th November 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 education in an accredited Master's full-time 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. Individuals applying for this position will not be eligible for immigration sponsorship.
Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven-t heard from us in three months about an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience.
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):
1. In the -Resume Section:- attach an updated CV or resume
2. In the -Education Section:- attach a current or recent unofficial or official transcript in English.
3. 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: ###- Currently enrolled in a Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences, etc.), or a related technical field in the EMEA region.
- Relevant practical or internship experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.).
- Relevant practical or internship experience articulating product questions, pulling data from datasets (SQL or Python), and using statistics to arrive at an answer.
- Currently enrolled in your penultimate/final year of education.
- Ability to translate analysis results into business recommendations.
- Ability to complete a minimum 13 week full-time internship in the internship location starting in either May, June or July 2027.
- Interest and ability to work with data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.
- Excellent problem-solving, written/verbal communication, and business judgment skills.
In the Data Scientist product role, you will provide quantitative analysis, market expertise and a strategic perspective to our partners throughout the organisation. As a member of the team, you'll serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make key recommendations for Googlers in Engineering and Product Management.
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 ###- Conduct data analysis to make business or product recommendations (i.e., cost-benefit, invest-divest, forecasting, impact analysis).
- Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.
- Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
- Help Google to focus on key decisions to improve products and services.