Lead Data Scientist (SEL & SWL)

Essential

• Educated to master's level or equivalent level of experience of working at a senior level in specialist area of data science.
• Evidence of continued professional development.

Essential

• Demonstrated experience of coordinating projects in complex and challenging environments.
• Significant experience & knowledge of probability and statistical inference, regression, time series modelling, experimental design & A/B testing, Bayesian methods, model validation
• Significant knowledge and experience of supervised & unsupervised machine learning, ensemble methods
• Knowledge of ETL/ELT processes
• Significant experience of successfully operating in a politically sensitive environment.
• Knowledge and experience of designing end to end pipelines
• Knowledge and experience of technical to business translation
• Significant experience of working with Data Engineers
• Knowledge and experience of agile and or hybrid solution delivery
• Knowledge and experience of storytelling to a very senior audience
• Experience of managing risks and reporting
• Experience of unit testing
• Experience of drafting briefing papers and correspondence for a senior audience.
• Experience of monitoring budgets and business planning processes.
• Demonstrated experience in a Healthcare environment.
• Experience of setting up and implementing internal processes and procedures.
• Experience in applying statistical, data science and machine learning techniques to real-world problems in a healthcare setting.
• Experience in managing, structuring and analysing NHS datasets (e.g. SUS, CSDS and MHSDS, primary care data, performance data).
• Experience in developing and maintaining reproducible analytical pipelines (RAP) and workflows.
• Experience working with large, complex, and sensitive datasets, ideally in a healthcare or public sector setting.

Essential

• Ability to analyse very complex issues where material is conflicting and drawn from multiple sources.
• Numerate and able to understand complex financial issues combined with deep analytical skills.
• Knowledge of Financial Systems e.g. monitoring budget management, processing
• Comprehensive knowledge of project principles, techniques and tools, such as Prince 2.
• Ability to prepare and produce concise communications for dissemination to a broad range of stakeholders as required.
• Ability to provide and receive complex, sensitive and contentious information and present complex and sensitive information to large groups and senior stakeholders.
• Demonstrated capability to plan over short, medium and long-term timeframes and adjust plans and resource requirements accordingly.
• High proficiency in Python and SQL.
• Understanding of Snowflake's machine learning capabilities and integration with tools like Python, Spark, or DataRobot.
• Strong understanding of data governance, privacy, and security principles including IG and GDPR.
• Familiarity with version control tools (e.g. GitHub or Azure DevOps) and collaborative coding practices.
• Proficiency in R

Essential

• Ability to work as part of a team and work flexibly to provide support to other departments and teams as and when necessary.
• Ability to work without supervision, but escalating when appropriate, providing specialist advice to the organisation, working to tight and often changing timescales.
• Tenacity: demonstrates high levels of self-belief, drive, enthusiasm and stamina to achieve goals and see things through.
• Ability to work effectively under pressure and to manage competing priorities.
• Self-confident and motivated.
• Ability to work effectively in multi-disciplinary teams, successfully engaging and communicating with technical and non technical clinical and operational senior stakeholders in a logic and compelling manner.
• Strong problem-solving and critical thinking skills.
• Willingness to learn and adapt to new tools, technologies, and methodologies.