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 similar
*Experience delivering predictive analytics or machine learning solutions
*Strong 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 stakeholders
*Strong analytical thinking, collaboration skills, and a results-driven mindset
Role responsibilities:


*Build, tune, and maintain predictive and ML models using AWS SageMaker
*Analyse large datasets and perform feature engineering to improve model performance
*Run experiments, test hypotheses, and optimise models for accuracy and value
*Monitor model performance and manage retraining over time
*Collaborate with Data Engineers, BI Developers, and Analysts to integrate outputs into dashboards and reports
*Partner with academic, operational, and IT stakeholders to translate insights into action
*Document models and support knowledge sharing and scalability
*Contribute to the expansion of predictive analytics into advanced ML/AI use cases
Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.