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 collaboration with clients and excellent career growth opportunities.
- Why this job: Make a real difference in public health using cutting-edge technology.
- Qualifications: Experience in ML, NLP, and data-driven solution delivery.
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 - AI employer: Harnham
Join a leading UK consultancy that prioritises impactful work in the healthcare and public sectors, where you can make a real difference by developing data science solutions that enhance 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 influence critical health outcomes while working alongside passionate professionals in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - AI
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and AI 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 data science projects, especially those related to healthcare. Use platforms like GitHub to share your code and demonstrate your expertise in ML and NLP. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by understanding the company’s impact-led projects. Research their recent work in public health and think about how your experience aligns with their goals. We want you to walk in confident, ready to discuss how you can contribute to their mission!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make a difference in healthcare. Let’s get you on board!
We think you need these skills to ace Lead Data Scientist - AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead Data Scientist - AI. Highlight your experience with ML, NLP, and any relevant projects in healthcare or public sectors. We want to see how your skills can make a real 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 meaningful projects.
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Mention your experience with Python, MLflow, Databricks, and any other tools listed in the job description. We love seeing candidates who are hands-on and ready to dive into the tech side of things.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python, ML, and NLP. Be ready to discuss specific projects where you've built and deployed models, as well as the tools you've used like MLflow and Databricks.
✨Understand the Impact
Since this role focuses on improving lives through data science, think about how your work can make a difference in healthcare. Prepare examples of how your previous projects have led to measurable outcomes, and be ready to discuss them.
✨Consulting Mindset
This position requires a blend of technical and consulting skills. Be prepared to demonstrate your ability to partner with clients, define their needs, and iterate on solutions. Think of scenarios where you've successfully influenced project delivery.
✨Get Familiar with the Sector
Research the public health and social care sectors. Understand the challenges they face and how data science can address these issues. This will show your genuine interest and help you connect better with the interviewers.
