2026 London Data Science Internship
@ The Trade Desk

London, England, United Kingdom
On Site
Posted 18 days ago

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XXXXXXXX XXXXXXXXX XXXXXXXX***** @thetradedesk.com
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Job Details

Overview

The Trade Desk is a global technology company committed to creating a more open internet through principled, intelligent advertising. Handling over 1 trillion queries daily, the company offers an award-winning, inclusive culture where every individual can contribute authentically.

What You'll Do

In the Data Science Internship - London 2026, you will own a meaningful project and contribute to developing new and existing data products. You will work closely with experienced data scientists, product teams, trading, and engineering teams.

  • Develop and improve data products.
  • Receive one-on-one mentorship from experienced Data Scientists.
  • Collaborate with global teams across departments.

Who You Are

You are a candidate enrolled in a Bachelor's, Master's, or PhD program with an expected graduation between Autumn 2026 and Summer 2027. You have a keen interest in learning new technologies and possess strong foundational knowledge in statistical machine learning, optimization, and big data technologies such as Spark and AWS.

  • Familiarity with at least one programming language (Python, R, Java, Scala, etc.)
  • Comfortable using SQL.
  • Able to communicate data-driven insights to both technical and non-technical audiences.

Additional Details

This position is based in London and requires in-office presence at least 3 days a week (Tuesday, Wednesday, Thursday). The Trade Desk promotes diversity and inclusive practices and offers support for candidates with disabilities.

Key skills/competency

  • Data Science
  • Machine Learning
  • Data Products
  • Big Data
  • Spark
  • AWS
  • Python
  • SQL
  • Optimization
  • AdTech
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How to Get Hired at The Trade Desk

🎯 Tips for Getting Hired

  • Research The Trade Desk's culture: Study their mission, values, and global impact.
  • Customize your resume: Highlight data science and ML skills.
  • Practice technical tests: Focus on Python, SQL, and big data tools.
  • Prepare for interviews: Emphasize project ownership and teamwork.

📝 Interview Preparation Advice

Technical Preparation

Review Python and SQL basics.
Practice machine learning algorithms.
Study Spark and AWS usage.
Work on data project exercises.

Behavioral Questions

Describe project ownership experience.
Explain teamwork in cross-functional groups.
Discuss handling challenging data scenarios.
Detail learning from mentorship experiences.

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