Intern, Data Science
Pubblicato il 08-10-2026 - WPP Media in Milano
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
As an Intern in the Data Science & Architecture team, you will help turn media and marketing data into actionable insights. Your focus will be on collecting, cleaning and preparing data for dashboards and reports, supporting the underlying data pipelines, and interpreting digital campaign performance. Working alongside Data Scientists, Data Engineers and Cloud Engineers, you will gain hands-on experience in data analysis,
machine learning and data architecture, contributing to projects that improve campaign effectiveness and inform business decisions.
Activities
• Collect, clean, validate and prepare data from campaign, analytics and CRM sources for analysis and reporting.
• Build and maintain dashboards and reports, and analyse datasets to identify trends and insights.
• Contribute to the development, testing and maintenance of the data pipelines that feed dashboards and reports.
• Help interpret digital campaign performance and translate business questions into clear metrics and visualisations.
• Work with Data Scientists and Engineers to learn how data pipelines and architecture are designed.
• Support the documentation and presentation of analytical findings.
• Stay up to date with emerging trends and technologies in data science and AI.
About You
• Currently pursuing or recently comp