Lead Data Scientist; Healthcare - Onsite Clients

Do you want to build data science solutions that improve lives, not clicks?

Would you thrive working directly with healthcare and public sector clients on the front lines of care delivery?

Are you looking for impact-led projects where you own delivery end-to-end?

A leading UK consultancy is scaling its AI & Data Science team to drive measurable outcomes in the healthcare and public sectors. Known for embedding hands-on technical teams with clients, they specialise in delivering real-world impact across complex, regulated environments. With a strong consulting culture and growing AI footprint, they’re tackling meaningful public health challenges using ML, NLP and simulation. Expect high visibility, autonomy, and the opportunity to shape an expanding capability.

You’ll work with public health & social care stakeholders to solve critical challenges — from fall prevention using clinical data to streamlining patient care pathways. The role combines technical depth with consulting breadth, requiring both hands-on ML work and the ability to influence delivery at scale.

They’re hiring at Lead (3–5 years’ experience) and Principal (5–10+ years) levels.

• Build and deploy ML and NLP models for public health and social care
• Work with structured data, clinical notes and unstructured healthcare datasets
• Partner with client teams to define, iterate, and deliver data-driven solutions
• Lead multidisciplinary delivery teams and translate insights into real-world KPIs
• Working model: On-site 3+ days/week with UK healthcare clients
• Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools