Intern, Data Science & Architecture

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 completed a degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering or a related field.
• Strong interest in data analysis, reporting and dashboarding, and curiosity about machine learning and data architecture.
• Basic knowledge of Python and SQL.
• Familiarity with data visualisation and BI tools (e.g. Power BI, Looker Studio, Tableau) is a plus.
• Analytical mindset and strong problem-solving skills.
• Proactive and eager to learn.
• Good communication skills and fluent English.

Life at WPP Media & Benefits

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

While we appreciate all applications received, only those candidates selected for an interview will be contacted.

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