Job Description

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.

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.