We're looking for an intermediate Data Scientist to join our Data Science team on a 12-month contract. The team works across established and emerging data products and analytical initiatives within Experian Marketing Services. Current priorities include the Mosaic refresh, Audience Taxonomy and Spend Analytics, alongside new machine-learning and AI opportunities across our consumer and commercial businesses. This is a hands-on role where you'll apply statistical analysis, experimentation and machine learning to real business and product problems. Working within a multidisciplinary scrum team, you'll take analytical work from problem definition and data exploration through modelling and validation, collaborating with Product, Data Engineering and other stakeholders to turn data science into practical outcomes. You will report to Data Science and Engineering Manager   What you'll be doing: Analyse complex datasets to identify patterns and insights that inform product and business decisions. Develop and evaluate statistical and machine-learning models, including data preparation, feature engineering, model selection, validation and performance monitoring. Design and analyse experiments using methods such as regression analysis, hypothesis testing and A/B testing. Contribute to data science and AI initiatives, including Mosaic, Audience Taxonomy, Spend Analytics, embeddings, retrieval-augmented generation (RAG) and prompt engineering, where relevant. Collaborate with scrum teams and stakeholders to translate requirements into reliable analytical solutions, document methodologies and communicate findings clearly to technical and non-technical audiences.