Senior Data Scientist

Senior Data Scientist – Healthcare & Life Sciences Consulting

Location: UK (hybrid working, 3 days in office or client site)

A purpose-led consultancy operating at the forefront of healthcare transformation is seeking a Senior Data Scientist to join its growing data and analytics team.

This organisation works across the healthcare ecosystem — including health systems, life sciences, health technology and investors — supporting clients to improve outcomes, inform decision-making and create sustainable value through data, digital and AI.

This is a senior technical, hands-on role sitting at the intersection of advanced analytics, healthcare strategy and client delivery
. You will lead complex data science work streams, translating ambiguous clinical, commercial and policy questions into robust, decision-focused analytics.

You’ll work closely with consultants, engineers and client stakeholders, acting as a trusted analytical advisor while maintaining a strong focus on delivery quality, reproducibility and impact.

• Translate complex client questions into well-defined analytical problem statements
• Lead end-to-end data science work streams from scoping through to insight and presentation
• Communicate complex methods and insights clearly to non-technical audiences
• Operate confidently in ambiguous problem spaces, applying structured problem-solving

• Build predictive models for health outcomes, healthcare utilisation and commercial performance
• Deliver population health analysis, disease burden studies and real-world evidence work
• Apply rigorous statistical methods with a focus on transparency and interpretability
• Work with both structured and unstructured data sources
• Design, build and maintain scalable data pipelines integrating multiple data sources
• Use Git for collaborative development, code reviews and CI/CD workflows
• Work with cloud-based storage and compute environments (e.g. AWS or GCP)
• Manage Python environments (e.g. conda, poetry, uv, pip) and use Bash/CLI tooling

• Lead technical discussions, workshops and presentations
• Identify risks, dependencies and delivery constraints within data work streams
• Maintain high standards of documentation, quality control and delivery excellence
• Support and mentor more junior team members

• Degree or postgraduate qualification in Data Science, Computer Science, Statistics or similar
• Strong experience delivering data science projects in a consulting or project-based environment
• Advanced Python and SQL skills
• Strong grounding in statistics (e.g. regression, hypothesis testing, time series, predictive modelling)
• Experience designing and implementing complex data pipelines
• Experience working with cloud platforms and secure data environments
  
  Confident communicator, able to explain technical concepts to non-technical stakeholders
• Experience working with healthcare, pharmaceutical or life sciences data
• Knowledge of population health, epidemiology, health economics or RWE
• Experience with unstructured data, NLP or advanced machine learning techniques
• Familiarity with healthcare data standards or clinical pathways

Hybrid working model with a strong emphasis on in-person client collaboration, balanced with flexible and remote working options.