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- Tasks: Create predictive models to enhance patient discharge planning in healthcare.
- Company: Join a leading NHS client focused on data-driven solutions.
- Benefits: Competitive pay, flexible hours, and the chance to make a real difference.
- Why this job: Use your data skills to improve patient care and streamline healthcare processes.
- Qualifications: Experience in Python, SQL, and data science; knowledge of EPR systems is a plus.
- Other info: Collaborative team environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Learn more about the general tasks related to this opportunity below, as well as required skills.
SR2 Consulting has an urgent requirement for a Data Scientist to support an NHS client on a contract basis. Our client is delivering a data-led solution to support discharge planning and patient flow in an acute healthcare setting. We are seeking a data scientist with experience in predictive modelling, clinical data, and EPR systems to join an established team.
Responsibilities:- Develop predictive models (Python/SQL) to estimate patient discharge timing.
- Integrate models into an existing EPR system using live data.
- Collaborate with clinicians, analysts, and engineers to define features and validate outputs.
- Support model tuning, performance monitoring, and stakeholder reporting.
- Strong experience in Python and SQL for modelling and data engineering.
- Proven background in data science or machine learning.
- Experience working with or integrating into EPR systems (e.g. EPIC).
- Understanding of acute healthcare settings and patient flow.
- Strong communication skills with technical and non-technical stakeholders.
Data Scientist (Predictive Modelling) – NHS in Cambridge employer: SR2
Contact Detail:
SR2 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Predictive Modelling) – NHS in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the NHS or data science community on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive modelling projects. Use GitHub to share your code and results, especially if you've worked with Python and SQL. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to collaborate with both technical and non-technical stakeholders in the NHS.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist (Predictive Modelling) – NHS in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in predictive modelling and working with clinical data. We want to see how your skills in Python and SQL shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past work, especially any experience with EPR systems or acute healthcare settings.
Showcase Your Collaboration Skills: Since this role involves working closely with clinicians and engineers, it’s important to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders. Give us examples of how you've done this before!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at SR2
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages for predictive modelling, as well as any challenges you faced and how you overcame them.
✨Understand the NHS Context
Familiarise yourself with the NHS and its acute healthcare settings. Knowing how patient flow works and the importance of discharge planning will show that you're not just a data whiz but also understand the real-world impact of your work.
✨Prepare for Collaboration Questions
Since you'll be working with clinicians and engineers, think about examples from your past where you've successfully collaborated with diverse teams. Highlight your communication skills and how you’ve translated technical concepts for non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've approached model tuning and performance monitoring in previous roles. Prepare to share specific metrics or outcomes that demonstrate your ability to improve model accuracy and stakeholder satisfaction.
