Senior Data Scientist

Senior Data Scientist The 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 • 810 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 (Masters 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