2025 Data Scientist Internship (multiple locations), Amazon University Talent Acquisition

Are you a MS or PhD student interested in a 2025 Internship in Data Science? If so, we want to hear from you! We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment, building and deploying machine learning models to drive step-change innovation and scale it to the EU/worldwide. If this describes you, come and join our Data Science teams at Amazon for an exciting internship opportunity. If you are insatiably curious and always want to learn more, then you've come to the right place. You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science If you have questions about Amazon Science internships, please feel free to sign up for one of our upcoming informational sessions via the 'Events Calendar' in our Science Intern landing page; https://amazonscienceopportunities.splashthat.com/ Key job responsibilities As a Data Science Intern, you will have following key job responsibilities:

• Work closely with scientists and engineers to architect and develop new algorithms to implement scientific solutions for Amazon problems.
• Work on an interdisciplinary team on customer-obsessed research
• Experience Amazon's customer-focused culture
• Create and Deliver Machine Learning projects that can be quickly applied starting locally and scaled to EU/worldwide
• Build and deploy Machine Learning models using large data-sets and cloud technology.
• Create and share with audiences of varying levels technical papers and presentations
• Define metrics and design algorithms to estimate customer satisfaction and engagement
  
  Are enrolled in a Master's degree in computer science, machine learning, engineering, or related fields
- Speak, write, and read fluently in English, Experience in at least one of the related science disciplines (optimization - LP, MIP, statistics, machine learning, process control, combinatorial optimization) - Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) - Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data - Experience implementing algorithms using both toolkits and self-developed code

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

At Amazon, you will grow into the high impact, visionary person you know you're ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you'll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include;
• All of our internships offer a competitive stipend/salary
• Interns are paired with an experienced manager and mentor(s)
• Interns receive invitations to different events such as intern program initiatives or site events
• Interns can build their professional and personal network with other Amazon Scientists
• Interns can potentially publish work at top tier conferences each year
About the team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. This role may available across multiple locations in the EMEA region (Austria, France, Germany, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Romania, Spain and the UK). Please note these are not remote internships.