About the Job
Are you a MS or PhD student interested in a 2025 Internship in Data Science? 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 you are insatiably curious and always want to learn more, then you’ve come to the right place.
Key Job Responsibilities
As a Data Science Intern, you will have the following key 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.
A day in the life at Amazon will be filled with developing new skills and achieving personal growth. Every day can change the world. Join us and help define tomorrow.
Work Conditions
- Internships are full-time and last between 3-6 months.
- This role is not remote and is available across multiple locations in the EMEA region.
Basic Qualifications
- Are enrolled in a Master's degree in computer science, machine learning, engineering, or related fields.
Preferred Qualifications
- 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you require workplace accommodations during the application and hiring process, please visit the appropriate Amazon resources for more information.
