G

Google

Runs Search and YouTube and builds Gemini AI

Data Scientist Product Intern

Data ScienceConfirmed live in the last 24 hours
Internship · Summer 2027Zürich, SwitzerlandNo salary listed

About the Job

Requirements

  • Currently enrolled in a Master's degree in a quantitative field, such as Statistics, Computer Science, Engineering, Mathematics, or Data Sciences, or a related technical field in the EMEA region.
  • Have relevant practical or internship experience working with statistical packages such as R, SAS, Stata, or MATLAB.
  • Have relevant practical or internship experience articulating product questions, pulling data from datasets using SQL or Python, and using statistics to arrive at an answer.
  • Be enrolled in the penultimate or final year of education in an accredited full-time Master's degree program located in the EMEA region.
  • Be located in Switzerland for the duration of the internship program.
  • Be available to work full-time for a minimum of 13 weeks over Summer 2027, starting in May, June, or July.
  • Individuals applying for this position are not eligible for immigration sponsorship.
  • Submit an updated CV or resume and a current unofficial or official transcript in English.
  • Include the expected graduation date (month and year) and internship availability on the resume.

Responsibilities

  • Conduct data analysis to make business or product recommendations, including cost-benefit, invest-divest, forecasting, and impact analysis.
  • Present findings and recommendations effectively to multiple levels of stakeholders, creating visual displays of quantitative information.
  • Collaborate with cross-functional stakeholders to understand business needs and formulate and complete analysis, including data gathering, analysis, ongoing scaled deliverables, and presentations.
  • Help Google focus on key decisions to improve products and services.
  • Provide quantitative analysis, market expertise, and a strategic perspective to partners throughout the organization.
  • Serve as an analytics expert for partners, using numbers to help them make better decisions and communicating meaningful insights from data.
  • Make key recommendations for stakeholders in Engineering and Product Management.

Desired Qualifications

  • Translate analysis results into business recommendations.
  • Have interest and ability to work with data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation.
  • Demonstrate problem-solving, written and verbal communication, and business judgment skills.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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