Data Scientist
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Tech stack
Job description
and diagnostics), health technology, health investors, and the wider supplier landscape.We provide end-to-end services, from strategy through implementation, supporting organisations to improve population health and healthcare outcomes. Our work spans strategy and transformation, finance and performance improvement, and delivery accelerated by data, digital and AI. We help clients understand their ambitions, identify opportunities to create value, apply innovation in practice, and deliver sustainable, measurable change.Our Mission Our mission is to be invaluable to our clients, supporting them to innovate and make lasting improvements and to build an exceptional company that attracts, develops, and retains a trusted and uniquely talented team.About the role The Senior Data Scientist is a senior technical contributor within CF's Data Innovation team, playing a critical role in the design and delivery of high-impact data science solutions across the healthcare sector. The role sits at the intersection of advanced analytics, healthcare strategy, and client delivery, supporting NHS, life sciences, and health sector clients to improve outcomes, inform decision-making, and create value through data.Senior Data Scientists work closely with consultants, clients, and other technical specialists to scope, shape, and deliver complex analytical work. They are comfortable operating in ambiguous problem spaces, applying structured problem-solving and strong technical judgement to translate complex business, clinical, and policy questions into robust, actionable analytics.The role focuses on hands-on delivery excellence, technical oversight within projects, and high-quality client engagement. Senior Data Scientists contribute to the development of CF's data capabilities and ways of working, while supporting and mentoring junior colleagues.Responsibilities Delivery Partner with NHS, life sciences, and other healthcare clients to translate complex and ambiguous questions into well-defined analytical problem statementsLead the end-to-end delivery of data science workstreams, from scoping and design through to analysis, insight generation, and client presentationAct as a trusted analytical advisor within projects, shaping both the analytical approach and the resulting solutionApply structured problem-solving approaches to complex healthcare, commercial, and policy challengesCommunicate insights clearly to non-technical audiences, explaining methods, assumptions, limitations, and implicationsAdvanced analytics and modelling Design and develop predictive models to forecast health outcomes, healthcare utilisation, and medicine sales performanceConduct population health analyses, disease burden studies, and real-world evidence (RWE) research using large-scale healthcare datasetsApply robust statistical methods to ensure analytical rigour, transparency, and interpretabilityExtract insight from both structured and unstructured data sources, including clinical text and public dataEnsure analytical outputs are decision-focused and aligned to client objectivesData engineering and pipelines Design, build, and maintain complex data pipelines integrating multiple disparate data sourcesEnsure data quality, reliability, security, and scalability across analytical solutionsApply software engineering best practices to data workflows to support reuse, testing, and long-term maintainabilityWork effectively with cloud-based storage and compute environmentsSoftware engineering and reproducibility Write clean, well-structured, reproducible Python code with clear documentationImplement unit tests, data validation checks, and quality controlsContribute to CI/CD pipelines for analytics and data workflowsUse Git effectively, including collaborative development, version control, and code reviewsManage Python environments using tools such as conda, uv, poetry, pip, or equivalentUse Bash and cloud tooling (e.g. AWS CLI) for automation and orchestrationBuild solutions that are production-minded, not purely exploratoryStakeholder and delivery management Lead technical discussions, workshops, and presentations with client stakeholdersProactively identify risks, dependencies, and delivery constraints within data workstreamsMaintain high standards of documentation, reproducibility, and delivery excellenceSupport integrated working between data science and consulting teamsRequirements We are ideally seeking candidates with a combination of the following skills and experiences:Mandatory Degree or postgraduate qualification in a relevant field (e.g. Data Science, Computer Science, Statistics, Mathematics)Strong experience delivering data science projects in a consulting or project-based environmentAdvanced Python and SQL skills for data manipulation, analysis, and modellingStrong experience with Git and collaborative development workflowsComfortable working with Bash and command-line toolingExperience managing Python environments using conda, uv, poetry, Senior Data Scientist Data Idols are proud to be working with an iconic UK brand to assist them in building out their data team as they undertake a data-driven journey that will transform the business. The Opportunity This opportunity for a Senior Data Scientist will...
Requirements
pip, or similarExperience working with cloud-based data storage solutions (e.g. AWS or GCP), with understanding of security, encryption, and access managementProven experience designing and implementing complex data pipelinesStrong grounding in statistics and applied analytics, including regression, hypothesis testing, time series, and predictive modellingExcellent communication skills, with the ability to explain complex technical concepts to non-technical audiencesAbility to work independently, take ownership of delivery, and manage multiple prioritiesExperience working with healthcare or pharmaceutical dataKnowledge of population health, epidemiology, health economics, or real-world evidence methodologiesExperience forecasting healthcare demand, utilisation, or commercial performance in life sciencesFamiliarity with healthcare data standards, coding systems, or clinical pathwaysExperience working with unstructured data, NLP, or advanced machine learning techniquesOur
Benefits & conditions
default is to work in person with our clients, but we also support remote working. Team members can work from home one day per week as standard, and we offer an additional 44 remote working days per year. This allows you to work from home up to two days per week-subject to client needs-or use your allowance in blocks, depending on what works best for you. Office hours are flexible within our core hours of 10am-4pm.We offer a competitive and flexible reward package designed to support you at work and beyond it. You will benefit from a generous holiday allowance that grows with your career (minimum of 25 days), a strong employer pension contribution, and the freedom to tailor benefits to suit your lifestyle, from wellbeing and fitness to financial protection.We are committed to supporting life's important moments, with enhanced family leave, income and life protection, and access to practical benefits that make everyday life easier, such as interest-free loans and travel support.Your wellbeing matters to us. You will have access to a comprehensive wellbeing and employee assistance programme, preventative health benefits, and initiatives that support an active, balanced way of working.Above all, we invest in our people; offering flexibility, security, and benefits that grow with you, so you can do your best work while building a sustainable and rewarding career., Job Description Senior Data Scientist London, hybrid 1 to 3 days per week. Competitive salary between £70,000 and £80,000 plus bonus and benefits. This is an exciting opportunity to build a data science capability from the ground up within a well-funded, high-impact...
