Senior Data ScientistThe OrganisationA large, complex organisation with a strong focus on leveraging data, analytics, and artificial intelligence to support operational excellence and strategic decision-making. The central data function plays a key role in delivering advanced analytics capabilities across the enterprise. The OpportunityAn exciting opportunity exists for a Senior Data Scientist to join a high-performing data team in a senior technical capacity. This role will lead the design and delivery of advanced data science and machine learning solutions, translating complex business problems into scalable, production-ready analytics outcomes. You will work across the full data science life cycle and act as a trusted advisor to stakeholders while mentoring junior team members. Key ResponsibilitiesAdvanced Analytics & Data Science 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 End-to-End Delivery 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 Technical Capability 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 Stakeholder Engagement 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 Leadership & Mentoring 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 Governance & Risk Ensure all solutions are explainable, reproducible, and aligned with ethical, privacy, and security requirements Work with sensitive data in secure and highly regulated environments Skills & ExperienceEssential 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 Desirable 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. 2995605
