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

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Amazon

Oct 30, 2024

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • 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

  • 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

FAQs

Do we support remote work?

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

What is the duration of the internship?

The internship duration can vary from 3 to 6 months for full-time positions.

What qualifications are required to apply for the internship?

Applicants must be enrolled in a Master's degree in computer science, machine learning, engineering, or related fields and must speak, write, and read fluently in English.

Are there any preferred qualifications for the internship?

Yes, preferred qualifications include experience in optimization, machine learning, data scripting languages (e.g., SQL, Python, R), working with big data, and implementing algorithms.

Will I receive a stipend or salary during the internship?

Yes, all internships offer a competitive stipend/salary.

Will I have a mentor during the internship?

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

Can I potentially publish my work during the internship?

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

What type of projects will I work on as a Data Science Intern?

As a Data Science Intern, you will work on building and deploying machine learning models, creating algorithms, and conducting customer-obsessed research.

How are interns assigned to teams?

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

Is a background in statistics required for this internship?

While not explicitly required, experience in statistics is listed among the preferred qualifications and is relevant to the internship role.

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.