Our client is looking for an experienced Data Scientist to design, build, and optimise machine learning models and advanced analytics solutions that support institutional priorities across a large, complex network. The role blends hands-on data science with strategic impact, using AWS technologies to deliver predictive insights that drive proactive interventions and data-driven decision-making. This is a hybrid role with the expectation of working 2 days pw in the London office. Skills and experience required: Bachelor''s degree in data science, Statistics, Computer Science, Mathematics, or similarExperience delivering predictive analytics or machine learning solutionsStrong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow)Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift)Ability to clearly communicate insights to non-technical stakeholdersStrong analytical thinking, collaboration skills, and a results-driven mindset Role responsibilities: Build, tune, and maintain predictive and ML models using AWS SageMakerAnalyse large datasets and perform feature engineering to improve model performanceRun experiments, test hypotheses, and optimise models for accuracy and valueMonitor model performance and manage retraining over timeCollaborate with Data Engineers, BI Developers, and Analysts to integrate outputs into dashboards and reportsPartner with academic, operational, and IT stakeholders to translate insights into action