Data Scientist Product MS Intern, 2027 - Google Careers

Google LLC; Zürich; On-site; CHF 20,000 - 31,000; Full time

Job summary

Google LLC is seeking a Share Data Scientist Product MS Intern for 2027 in Switzerland (Zurich). You will provide quantitative analysis, contribute market insights, and help partners across Engineering and Product Management with data-driven recommendations.

This full-time internship runs for at least 13 weeks in Summer 2027, starting May–July, with rolling reviews and no immigration sponsorship.

Qualifications

• Currently enrolled in a Master's degree in a quantitative field in the EMEA region.
• Experience with statistical packages (R, SAS, Stata, MATLAB).
• Experience pulling data from datasets (SQL or Python) and using statistics to inform decisions.

Responsibilities

• Conduct data analysis to inform business or product decisions (cost-benefit, forecasting, impact analysis).
• Deliver presentations of findings to stakeholders with clear visuals.
• Collaborate with cross-functional teams to understand needs and complete analyses with scalable deliverables.
• Help focus on key decisions to improve products and services.

Skills

Statistics

Data analysis

Python

SQL

R

Machine learning

Education

Master's degree in a quantitative field

Tools

R

SAS

Stata

MATLAB

SQL

Python

Job description

Share Data Scientist Product MS Intern, 2027

info_outline

X Applications will open on Monday 5th October 2026.

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.

• 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.

Preferred qualifications:

• 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.

About the job

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.

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 .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.