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.