CF

Senior Data Scientist

CF

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Job Level

Senior

Tech Stack

AWSCloudGoogle Cloud PlatformPythonSQL

About the role

  • Partner with NHS, life sciences, and other healthcare clients to translate complex and ambiguous questions into well-defined analytical problem statements
  • Lead the end-to-end delivery of data science workstreams, from scoping and design through to analysis, insight generation, and client presentation
  • Act as a trusted analytical advisor within projects, shaping both the analytical approach and the resulting solution
  • Apply structured problem-solving approaches to complex healthcare, commercial, and policy challenges
  • Communicate insights clearly to non-technical audiences, explaining methods, assumptions, limitations, and implications
  • Design and develop predictive models to forecast health outcomes, healthcare utilisation, and medicine sales performance
  • Conduct population health analyses, disease burden studies, and real-world evidence (RWE) research using large-scale healthcare datasets
  • Apply robust statistical methods to ensure analytical rigour, transparency, and interpretability
  • Extract insight from both structured and unstructured data sources, including clinical text and public data
  • Ensure analytical outputs are decision-focused and aligned to client objectives
  • Design, build, and maintain complex data pipelines integrating multiple disparate data sources
  • Ensure data quality, reliability, security, and scalability across analytical solutions
  • Apply software engineering best practices to data workflows to support reuse, testing, and long-term maintainability
  • Work effectively with cloud-based storage and compute environments
  • Write clean, well-structured, reproducible Python code with clear documentation
  • Implement unit tests, data validation checks, and quality controls
  • Contribute to CI/CD pipelines for analytics and data workflows
  • Use Git effectively, including collaborative development, version control, and code reviews
  • Manage Python environments using tools such as conda, uv, poetry, pip, or equivalent
  • Use Bash and cloud tooling (e.g. AWS CLI) for automation and orchestration
  • Build solutions that are production-minded, not purely exploratory
  • Lead technical discussions, workshops, and presentations with client stakeholders
  • Proactively identify risks, dependencies, and delivery constraints within data workstreams
  • Maintain high standards of documentation, reproducibility, and delivery excellence
  • Support integrated working between data science and consulting teams

Requirements

  • 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 environment
  • - Advanced Python and SQL skills for data manipulation, analysis, and modelling
  • - Strong experience with Git and collaborative development workflows
  • - Comfortable working with Bash and command-line tooling
  • - Experience managing Python environments using conda, uv, poetry, pip, or similar
  • - Experience working with cloud-based data storage solutions (e.g. AWS or GCP), with understanding of security, encryption, and access management
  • - Proven experience designing and implementing complex data pipelines
  • - Strong grounding in statistics and applied analytics, including regression, hypothesis testing, time series, and predictive modelling
  • - Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences
  • - Ability to work independently, take ownership of delivery, and manage multiple priorities
  • Desirable
  • - Experience working with healthcare or pharmaceutical data
  • - Knowledge of population health, epidemiology, health economics, or real-world evidence methodologies
  • - Experience forecasting healthcare demand, utilisation, or commercial performance in life sciences
  • - Familiarity with healthcare data standards, coding systems, or clinical pathways
  • - Experience working with unstructured data, NLP, or advanced machine learning techniques
Benefits
  • - 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLdata manipulationpredictive modelingstatistical methodsdata pipeline designregressionhypothesis testingtime series analysismachine learning
Soft Skills
communicationproblem-solvingindependenceownershipclient presentationanalytical advisoryrisk identificationdelivery managementcollaborationdocumentation
Certifications
degree in Data Sciencedegree in Computer Sciencedegree in Statisticsdegree in Mathematics