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

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Amazon

Oct 29

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • London

Requirements

  • 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

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

FAQs

Is this position available for remote work?

No, these internships are not remote and are available across multiple locations in the EMEA region.

What educational background is required for this internship?

Candidates must be enrolled in a Master's degree in computer science, machine learning, engineering, or related fields.

What programming languages should candidates be familiar with?

Candidates should have experience with data scripting languages such as SQL, Python, R, or equivalent.

How long does the internship last?

The internship can vary in length from 3 to 6 months.

Will I have a mentor during my internship?

Yes, interns are paired with an experienced manager and mentor(s).

Are there opportunities to publish work from this internship?

Yes, interns can potentially publish work at top-tier conferences each year.

What skills are preferred for applicants?

Experience in disciplines like optimization, statistics, machine learning, and big data processing is preferred.

Are there any specific locations where these internships are based?

Yes, internships are available in countries such as Austria, France, Germany, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Romania, Spain, and the UK.

Will applicants be considered on a rolling basis?

Yes, applicants will be reviewed on a rolling basis and assigned to teams aligned with their research interests and experience prior to interviews.

What benefits do interns receive?

Interns receive a competitive stipend/salary, invitations to various events, and opportunities to network with other Amazon Scientists.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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