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 blend 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 Chelmsford 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 Chelmsford
✨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. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews! Research the company and their recent projects in health and social care. Be ready to discuss how your experience with ML and NLP can directly impact patient outcomes. We want you to shine and show them you’re the perfect fit!
✨Tip Number 3
Showcase your work! Create a portfolio of your data science projects, especially those related to healthcare. Use platforms like GitHub to share your code and results. We believe that demonstrating your skills can set you apart from the crowd.
✨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 about their job search. 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 Chelmsford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role. Highlight your experience with data science in healthcare, especially any projects that influenced real-world care decisions. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for using data science to improve patient outcomes and mention specific examples of your work. Let us know why you’re excited about this opportunity with StudySmarter.
Showcase Relevant Projects:Include details about any relevant projects you've worked on, especially those involving ML, NLP, or predictive analytics in healthcare. We love seeing how your past experiences can contribute to our goals!
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 you’re considered for the role. 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 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 current challenges in health and social care. Knowing how predictive analytics can prevent falls or reduce admissions will help you connect your skills to their needs. It’s all about showing you can deliver solutions that matter.
✨Prepare for Stakeholder Engagement
Since you'll be working closely with clinicians and operational leads, think about how you can communicate complex data insights in a way that’s easy for them to understand. Practice explaining your modelling outputs in terms of measurable outcomes like improved care pathways.
✨Show Your Team Spirit
This role involves collaborating with various stakeholders, so be ready to share examples of how you've successfully worked in teams before. Highlight your ability to partner with others to design and deliver end-to-end solutions, as this is key in a consultancy environment.
