The Senior Data Scientist will lead the design, development and delivery of advanced analytics and machine learning projects that support clinical and operational improvement across Alder Hey Children's NHS Foundation Trust. Working primarily in Databricks using SQL and Python, the postholder will develop, validate and maintain analytical and predictive models on curated Trust datasets. This includes full responsibility for data preparation activities such as data quality checks, cleansing, preprocessing and feature engineering, ensuring all work follows agreed definitions and is reproducible and auditable. The postholder will create reporting products and dashboards (for example using Power BI) that communicate clear, actionable insight to support decision-making. They will manage multiple concurrent projects, agreeing requirements, outputs, milestones and timescales with stakeholders and providing regular progress updates to the Head of Data Science, including early escalation of risks with proposed mitigations. Stakeholder engagement is central to this role. The postholder will work closely with clinicians, operational leads and digital colleagues to ensure analytical outputs reflect the problem being addressed, are clinically and operationally credible, and can be adopted safely into routine practice. This includes communicating complex findings through written reports, presentations and data visualisations tailored to both technical and non-technical audiences. The postholder will maintain appropriate documentation, version control and change control to support the safe development and deployment of new outputs. They will handle confidential and sensitive information in accordance with UK GDPR, the Data Protection Act 2018, Caldicott Principles and Trust policies. The role also carries responsibility for supporting the professional development of colleagues, including mentoring junior staff and promoting best practice across the data science lifecycle. The postholder will provide cover for the Head of Data Science when required and support portfolio oversight activities as appropriate. The postholder will be expected to maintain up-to-date knowledge of industry developments, best practice standards and emerging techniques relevant to data science in healthcare settings. For full details, please refer to the attached job description and person specification.