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- 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 Southampton 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 Southampton
✨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 by practising common questions related to ML and NLP. Think about how you can showcase your experience with real-world projects. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and make a lasting impression.
✨Tip Number 3
Showcase your passion for healthcare! When discussing your projects or experiences, highlight how they’ve made a difference in people’s lives. We want to see that you’re not just in it for the tech, but that you genuinely care about the impact of your work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us. Let’s get you on board!
We think you need these skills to ace Lead Data Scientist (Healthcare) - Onsite UK Clients in Southampton
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 explain why you’re excited about working with healthcare clients. Let us know how you can contribute to our mission!
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 tackled challenges and delivered measurable outcomes!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures it gets into the right hands. 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 knowledge. Be ready to discuss specific projects you've worked on, especially those that relate to healthcare. This role is all about applying technical skills to real-world problems, so show them you can do just that!
✨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 demonstrate your genuine interest in the field and how your skills can make a difference.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would approach specific healthcare data challenges. Think about how you would lead a team to deliver solutions and what KPIs you would focus on. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Showcase Your Consulting Skills
Since this role involves working closely with clients, highlight any experience you have in consulting or client-facing roles. Discuss how you've successfully communicated complex data insights to non-technical stakeholders, as this will be crucial in influencing delivery at scale.
