Media Innovation & Transformation Internship
Posted May 21, 2026
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit <wppmedia.com>. Role Summary and Impact
WPP Media is seeking anIntern to join our Media Innovation & Transformation HUB, supporting initiatives across Business Transformation, Process & Data Automation, and AI. This role offers a unique opportunity to develop cross-functional skills in business, operations, data, media, and technology, directly contributing to improving internal processes and fostering more scalable, controlled, and innovative tools and workflows. Working closely with the Process and Data Automation Manager, you will gain practical experience in project management, process automation, and the pragmatic application of AI within a complex organizational environment. Activities
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Support the analysis of internal processes, gathering information from various teams, and mapping existing workflows to identify manual, repetitive, or automatable activities. Contribute to the documentation of "as-is" and "to-be" processes and operational requirements for automation solutions. - Assist in the operational management of automation initiatives, including planning, follow-up, activity monitoring, and preparing meeting notes and action lists. Support the creation, testing, and monitoring of simple automation tools, reporting solutions, or data control processes. - Collaborate on data collection, cleaning, normalization, and quality control activities, helping to identify anomalies or inefficiencies. Support the management of files, databases, reports, and recurring data flows, preparing datasets for analysis, reporting, or automation. - Contribute to identifying potential AI use cases for processes, data, and operational activities. Support controlled experimentation of AI tools for synthesis, classification, normalization, quality control, and operational support. - Help prepare documentation, operating guides, templates, and enablement materials to promote effective and conscious use of automation and AI tools by internal teams. - Work with internal teams, business stakeholders, and technical functions, contributing to the monitoring of KPIs and expected benefits of initiatives.