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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 casesSpectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy