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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: High visibility, autonomy, and the chance to shape healthcare delivery.
- 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: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ 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 are tackling meaningful public health challenges using ML, NLP and simulation. Expect high visibility, autonomy, and the opportunity to shape an expanding capability.
You will 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.
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
Working model: On-site 3+ days/week with UK healthcare clients
Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools
Lead Data Scientist (Healthcare) - Onsite UK Clients in London 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 London
✨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
Showcase your skills! Create a portfolio of your projects, especially those related to healthcare data science. Use platforms like GitHub to share your code and insights. This way, when you land that interview, you can demonstrate your hands-on experience with ML and NLP directly.
✨Tip Number 3
Prepare for the technical grill! Brush up on your Python skills and be ready to discuss your experience with MLflow, Databricks, and Azure. We recommend doing mock interviews with friends or using online platforms to get comfortable with the technical questions you might face.
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate individuals who want to make a difference in healthcare. By applying directly, you’ll have a better chance of getting noticed by our hiring team. Don’t miss out on the opportunity to shape impactful projects!
We think you need these skills to ace Lead Data Scientist (Healthcare) - Onsite UK Clients in London
Some tips for your application 🫡
Show Your Passion for Impact: When writing your application, let us see your enthusiasm for improving lives through data science. Share specific examples of how your work has made a difference in healthcare or public sectors, as this aligns perfectly with our mission.
Tailor Your Experience: Make sure to highlight your relevant experience in ML and NLP, especially in healthcare contexts. We want to see how your skills can directly contribute to solving the critical challenges we face, so be specific about your past projects.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and technical skills. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description, especially Python, NLP libraries, and MLflow. Brush up on your experience with Azure and simulation tools, as these will likely come up during technical discussions.
✨Understand Healthcare Challenges
Familiarise yourself with current public health challenges and how data science can address them. Be prepared to discuss specific examples of how you've used ML or NLP to solve real-world problems, particularly in healthcare or social care settings.
✨Showcase Your Consulting Skills
Since this role involves working closely with clients, highlight your experience in consulting. Prepare to discuss how you’ve influenced project delivery and collaborated with multidisciplinary teams to achieve impactful outcomes.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about how you would approach building and deploying models for specific healthcare scenarios, and be ready to articulate your thought process clearly.
