Job Description
Senior Data Scientist – Healthcare & Life Sciences Consulting
Location: UK (hybrid working, 3 days in office or client site)
Sector: Healthcare | Life Sciences | Public Sector | Health Tech
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.
The role
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 workstreams, 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.
Key responsibilities
Client delivery & advisory
* Translate complex client questions into well-defined analytical problem statements
* Lead end-to-end data science workstreams 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
Advanced analytics & modelling
* 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
Data engineering & software engineering
* Design, build and maintain scalable data pipelines integrating multiple data sources
* Write clean, well-tested, reproducible Python code using modern engineering practices
* 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
Stakeholder & delivery management
* Lead technical discussions, workshops and presentations
* Identify risks, dependencies and delivery constraints within data workstreams
* Maintain high standards of documentation, quality control and delivery excellence
* Support and mentor more junior team members
About you
Essential experience
* 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
Desirable
* 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
Working pattern
Hybrid working model with a strong emphasis on in-person client collaboration, balanced with flexible and remote working options.