At a Glance
- Tasks: Build impactful data science solutions for healthcare and public sector clients.
- Company: Leading UK consultancy focused on AI and Data Science.
- Benefits: Work on meaningful projects with a strong consulting culture.
- Other info: On-site work with excellent opportunities for professional growth.
- Why this job: Make a real difference in public health using cutting-edge technology.
- Qualifications: Experience in ML, NLP, and strong consulting skills required.
The predicted salary is between 60000 - 80000 £ 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. With a strong consulting culture and growing AI footprint, they’re tackling meaningful public health challenges using ML, NLP and simulation.
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.
- 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
- On-site 3+ days/week with UK healthcare clients
- Python, NLP libraries, MLflow, Databricks, Azure, simulation tools
Visa: This role cannot sponsor
Lead Data Scientist (f/m/d) employer: Harnham
Join a leading UK consultancy that prioritises impactful work in the healthcare and public sectors, where you can contribute to meaningful projects that improve lives. With a strong emphasis on employee growth, a collaborative work culture, and the opportunity to engage directly with clients, this role offers a unique chance to make a difference while developing your skills in a supportive environment. Enjoy the benefits of working on the front lines of care delivery, leveraging cutting-edge AI and data science technologies to tackle critical public health challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist (f/m/d)
✨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 ML and NLP in healthcare. Use platforms like GitHub to share your code and insights. This way, potential employers can see your hands-on experience and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by understanding the specific challenges in public health and social care. Brush up on case studies and be ready to discuss how your skills can directly impact these areas. We want you to shine and show them you’re the perfect fit for their team!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s make a difference together!
We think you need these skills to ace Lead Data Scientist (f/m/d)
Some tips for your application 🫡
Show Your Passion for Impact:When writing your application, let us see your enthusiasm for making a difference in healthcare and public sectors. Share specific examples of how your work has positively impacted lives or improved processes.
Highlight Relevant Experience:Make sure to showcase your experience with ML, NLP, and working with healthcare datasets. We want to know how you've tackled similar challenges before, so don’t hold back on the details!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that align with our job description. This shows us you’re genuinely interested in the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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 or public sector challenges. This will show your technical depth and how you can apply it in real-world scenarios.
✨Understand the Client's Needs
Research the consultancy and their clients in the healthcare sector. Understand the key challenges they face and think about how your skills can help solve these issues. Being able to articulate this during the interview will demonstrate your consulting mindset and ability to partner effectively with client teams.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex problems in the past, particularly in data-driven environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on how you delivered impactful solutions from start to finish.
✨Be Ready for Technical Questions
Expect some hands-on technical questions or even a coding challenge. Brush up on Python and relevant libraries like MLflow and Databricks. Practising coding problems related to data manipulation and model deployment will help you feel more confident and prepared.
