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WPP Media

AI-native global media services network

AI Intern

AI Application EngineeringUpdated on Nov 9
Internship · Winter 2027Copenhagen, DenmarkNo salary listedIn-person

About the Job

Requirements

  • Currently pursuing higher education in technology, data, IT, or programming.
  • Have a strong technical profile and general curiosity about artificial intelligence.
  • Take a responsible, independent, and ambitious approach to learning new knowledge.
  • Use an analytical and data-driven approach to tasks.
  • Have good communication skills and work effectively as a team member.
  • Understand new systems and how they relate to one another.
  • Look for smarter and more efficient workflows.

Responsibilities

  • Collaborate with relevant stakeholders to identify and map artificial intelligence and automation use cases.
  • Identify and build appropriate, robust solutions for selected use cases.
  • Support the Nordic team in designing optimal artificial intelligence architecture across global tools, including WPP Open, and local systems and data models.
  • Work hands-on with Claude CoWork, Google Vertex AI, and Agent Developer Kit.

Desired Qualifications

  • Basic knowledge of programming, for example Python, YAML, and/or JSON.
  • Experience working with databases and SQL.
  • Understanding of REST APIs, MCP, and Google Cloud for Marketing.
  • Knowledge of modeling and machine learning.

About the Company

WPP Media

AI-native global media services network

WPP Media is a global media services arm that manages more than $60 billion in annual advertising investments for leading brands. It operates across a network of established agencies (Mindshare, Wavemaker, EssenceMediacom) and combines media planning, data, production, and commerce through its proprietary WPP Open platform. Its Open Intelligence data model uses real-time behavioral signals to drive predictive, faster, and smarter marketing campaigns. The company positions itself as an AI-native media collective, consolidating capabilities under a single technology stack to improve efficiency and scale for advertisers. Its goal is to help clients buy and optimize media more effectively by leveraging integrated data, advanced analytics, and automated execution at scale.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2003

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