Data Scientist
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data-driven solutions and technology product to power marketing transformation. WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost. We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world. Who we are looking for A proactive and highly skilled Data Scientist, eager to apply and advance expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse, extract, and drive insights from complex datasets within our core HQ team. This individual will take ownership of key data science initiatives, developing and optimising solutions that deliver significant business value. This role is fundamental to sustaining momentum on high-impact projects and is crucial for embedding core data science intelligence and building institutional knowledge. The position requires lateral thinking and strategic problem-solving, ensuring a direct and embedded contribution to our solutions enhancement work. Key Skills: Strong and demonstrable programming skills in Python and extensive experience using Jupyter notebooks for data analysis and visualisation. Proven proficiency in GCP services such as BigQuery, Google Cloud Functions, and Vertex AI. Solid understanding and practical application of machine learning techniques in data activation solutions, including supervised and unsupervised learning, classification, and regression models. Expert proficiency in data manipulation and cleaning using libraries like Panda...