• Lead the design, development, and delivery of advanced statistical and machine learning solutions, including regression, classification, forecasting, Bayesian methods, and causal inference
• Apply supervised and unsupervised machine learning techniques, ensemble models, and feature engineering
• Develop deep learning solutions (e.g. CNNs, RNNs, transformer-based models) where relevant
• Design robust experiments with appropriate statistical controls and validation frameworks

• Own the full life cycle of data science initiatives from problem definition through to deployment, monitoring, and optimisation.
• Build scalable, production-ready analytical solutions aligned with business needs
• Implement rigorous testing, validation, and performance monitoring processes

• Develop high-quality Python code using libraries such as NumPy, pandas, scikit-learn, PyTorch, and/or TensorFlow.
• Write efficient, maintainable SQL for working with large, complex datasets
• Contribute to best practices in version control, testing, documentation, and reproducibility
• Collaborate with engineering and platform teams to support deployment and maintenance

• Partner with stakeholders to define analytical problems and success criteria
• Translate complex technical concepts into clear, actionable business insights
• Provide evidence-based recommendations to support decision-making
• Guide stakeholders on the appropriate use of data science and AI

• Act as a technical leader and mentor for analysts and junior data scientists
• Promote best practices and knowledge sharing within the team
• Support capability uplift across the broader data function

• Ensure all solutions are explainable, reproducible, and aligned with ethical, privacy, and security requirements
• Work with sensitive data in secure and highly regulated environments

• 8–10 years’ experience in data science, machine learning, advanced analytics, or applied research roles
• Deep expertise in advanced statistics, modelling techniques, and experimental design
• Proven experience delivering end-to-end data science solutions
• Expert-level Python skills and strong SQL capability
• Experience working with large, complex datasets
• Strong communication skills with the ability to engage non-technical stakeholders
• Ability to operate in secure or regulated environments

• Postgraduate qualification (Master’s or PhD) in a quantitative discipline
• Experience with modern AI techniques including deep learning, NLP, or computer vision
• Exposure to enterprise-scale analytics environments

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.