Senior 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. Why we're hiring: We are expanding our data science capability to develop a state-of-the-art system for estimating and understanding the size and characteristics of marketing and advertising audiences. This role offers the opportunity to apply Bayesian statistics, advanced mathematical thinking and production-quality engineering to complex problems with meaningful industry impact. What You’ll Be Doing Develop and implement Bayesian statistical models and other advanced analytical methods to estimate audience sizes and characteristics. Translate complex mathematical and statistical questions into robust, explainable data-driven solutions. Build and maintain production-ready Python packages, including unit tests and clear technical documentation. Collaborate with data scientists, engineers and other specialists to design, build and refine analytical solutions. Work with diverse data formats and help maintain data quality and integrity throughout the analytics pipeline. Use cloud computing resources to support scalable data processing and model deployment. Contribute to Git repositories, code reviews and sound version-control practices while adapting to evolving priorities. Who You’ll Be Working With You’ll join a multidisciplinary team working on challenging statistical, mathematical and conceptual problems. The team values rigorous thinking, open discussion, knowledge sharing and practical solutions. You’ll collaborate closely with colleagues who bring different technical perspectives and areas of expertise, contributing to an environment where ideas are tested constructively and improved together. What You’ll Bring Advanced knowledge of probability and statistics, including a strong foundation in Bayesian methods, gained through postgraduate study or equivalent professional experience. Advanced Python programming skills, including package development, unit testing and working with multiple data formats. Demonstrated ability to solve complex mathematical, statistical or conceptual problems. Experience using Git, repositories and collaborative code-review practices. Experience…