Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and deploy ML and NLP models to improve healthcare outcomes.
- Company: Leading UK consultancy focused on impactful data science solutions.
- Benefits: Competitive salary, high visibility, and autonomy in your role.
- Why this job: Make a real difference in public health while working with cutting-edge technology.
- Qualifications: 3-5 years of experience in data science and strong consulting skills.
- Other info: Join a dynamic team tackling meaningful challenges in healthcare.
The predicted salary is between 80000 - 150000 £ per year.
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.
Key Responsibilities- 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
- Salary: £80,000 – £150,000
- Working model: On-site 3+ days/week with UK healthcare clients
- Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools
- Visa: This role cannot sponsor
Interested? Please apply below.
Lead Data Scientist (Healthcare) - Onsite UK Clients in Leeds employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist (Healthcare) - Onsite UK Clients in Leeds
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and data science sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in healthcare. Think about how your skills in ML and NLP can directly impact their work. We suggest practising common interview questions and even some technical challenges to show off your expertise.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant data science projects, make sure to highlight them. Create a portfolio or GitHub repository to demonstrate your skills in building ML models. We love seeing real-world applications of your work!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make a difference in healthcare. Don’t miss out on the chance to join us!
We think you need these skills to ace Lead Data Scientist (Healthcare) - Onsite UK Clients in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Scientist in healthcare. Highlight your experience with ML and NLP, especially in public health contexts. We want to see how your skills can make a real-world impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for improving lives through data science and how you’ve tackled similar challenges before. Let us know why you’re excited about working with healthcare clients.
Showcase Relevant Projects: Include specific examples of projects where you've built and deployed ML models, particularly in healthcare or public sectors. We love seeing how you’ve turned data into actionable insights that drive change!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Harnham
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and natural language processing skills. Be ready to discuss specific projects you've worked on, especially those that relate to healthcare. They’ll want to see how you can apply your technical knowledge to real-world problems.
✨Understand the Healthcare Landscape
Familiarise yourself with current challenges in the healthcare sector, especially around public health and social care. Being able to speak intelligently about these issues will show that you’re not just a tech whiz but also someone who understands the impact of your work.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would approach specific problems or projects. Think about how you would lead a multidisciplinary team or translate data insights into actionable KPIs. Practising these scenarios can help you articulate your thought process clearly.
✨Showcase Your Consulting Skills
Since this role involves working closely with clients, be prepared to demonstrate your consulting abilities. Talk about how you’ve successfully partnered with stakeholders in the past, and how you can influence delivery at scale. Highlight any experience you have in client-facing roles.
