At a Glance
- Tasks: Use data science to improve patient outcomes and reduce hospital admissions.
- Company: Leading UK consultancy focused on health and social care.
- Benefits: Competitive salary, impactful work, and a mix of onsite and remote flexibility.
- Other info: Join a dedicated AI & Data Science team with excellent career growth opportunities.
- Why this job: Make a real difference in healthcare with your data science skills.
- Qualifications: Experience in data science, ML, and NLP; strong collaboration skills.
The predicted salary is between 80000 - 130000 £ per year.
Do you want to use data science to reduce hospital admissions and improve patient outcomes? Have you worked on projects where your models directly influenced real-world care decisions? Are you ready to deliver AI solutions embedded within healthcare systems, not just prototypes?
A leading UK consultancy is building a dedicated AI & Data Science team to deliver high-impact work across health and social care. They specialise in embedding technical teams directly within client environments — working alongside clinicians, operational leads, and public sector stakeholders to deliver measurable change. With a strong track record in complex, regulated environments, they’re now scaling their capability across ML, NLP, and advanced analytics.
As a Data Scientist (Lead / Principal), you’ll work on projects that directly impact patient care and system efficiency. Recent work includes predictive analytics for fall prevention, combining structured data and clinical notes to trigger early interventions and reduce hospital admissions.
Key Responsibilities- Build and deploy data science, ML and NLP models for healthcare and social care use cases
- Work with structured data and unstructured clinical datasets
- Partner with stakeholders to design and deliver end-to-end solutions
- Translate modelling outputs into measurable outcomes (e.g. reduced admissions, improved care pathways)
- Salary: £80,000 - £130,000
- Working model: On-site 3+ days/week with healthcare clients across England
- Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools
- Visa: This role cannot sponsor
Interested? Please apply below.
Data Science Consultant - Onsite with Health & Social Care Clients in Dartford employer: Harnham
Join a leading UK consultancy that is at the forefront of transforming health and social care through data science. With a strong emphasis on collaboration, you will work directly with clinicians and public sector stakeholders to implement AI solutions that make a tangible difference in patient outcomes. Enjoy a dynamic work culture that values innovation and offers ample opportunities for professional growth, all while working onsite with clients across England.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Consultant - Onsite with Health & Social Care Clients in Dartford
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and data science fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy to ask for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects, especially those that demonstrate your impact on real-world care decisions. Use platforms like GitHub to share your code and visualisations, making it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science scenarios. Be ready to discuss how you've used ML and NLP in past projects, and think about how you can translate your modelling outputs into measurable outcomes. We want to see your problem-solving skills in action!
✨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 are proactive and engaged with our process. Let’s get you that Data Science Consultant role!
We think you need these skills to ace Data Science Consultant - Onsite with Health & Social Care Clients in Dartford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Data Science Consultant. Highlight your experience with healthcare projects and any specific models you've built that have made a real impact. We want to see how your skills align with our mission to improve patient outcomes!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about using data science in health and social care. Share specific examples of how your work has influenced care decisions or improved systems, and let your enthusiasm for the role come through.
Showcase Relevant Projects:If you've worked on projects involving ML, NLP, or predictive analytics, make sure to showcase them in your application. We love seeing concrete examples of your work, especially if they relate to reducing hospital admissions or enhancing patient care pathways.
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 gives you a chance to explore more about our team and what we do!
How to prepare for a job interview at Harnham
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in ML and NLP. Be ready to discuss specific projects where your models made a real difference in healthcare outcomes. This shows you not only understand the theory but can apply it in practice.
✨Understand the Healthcare Context
Familiarise yourself with the challenges faced in health and social care. Knowing how your work can reduce hospital admissions or improve patient pathways will impress interviewers. They want to see that you can translate technical skills into meaningful solutions for real-world problems.
✨Prepare for Stakeholder Engagement
Since you'll be working closely with clinicians and operational leads, think about how you would communicate complex data insights to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact rather than just the tech.
✨Showcase Your Teamwork Skills
This role involves collaborating with various teams, so be ready to share examples of how you've successfully worked in a team environment. Highlight any experience you have in embedding within client teams or working in regulated environments, as this will resonate well with the interviewers.
