Data Scientist Product MS Intern, 2027

• 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.

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.

• 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.