Senior Data Scientist

SR2 | Socially Responsible Recruitment | Certified B Corporation
London
1 week ago
Applications closed

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Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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.

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