At a Glance
- Tasks: Develop 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.
- Other info: Collaborative team environment with opportunities for professional growth.
- Why this job: Use your data skills to improve patient care and streamline healthcare processes.
- Qualifications: Experience in Python, SQL, and predictive modelling in healthcare settings.
The predicted salary is between 36000 - 60000 € per year.
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.
Required Skills:
- 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 employer: SR2
At SR2 Consulting, we pride ourselves on being an exceptional employer, offering a collaborative work culture that values innovation and professional growth. As a Data Scientist in the NHS sector, you will have the unique opportunity to make a meaningful impact on patient care while working alongside dedicated professionals in a supportive environment. Our commitment to employee development and the chance to contribute to vital healthcare solutions make us an attractive choice for those seeking rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Predictive Modelling) – NHS
✨Tip Number 1
Network like a pro! Reach out to professionals in the NHS or data science community on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive modelling projects, especially those using Python and SQL. This will give you an edge when chatting with potential employers and demonstrate your hands-on experience.
✨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 have loads of resources and job listings tailored for data scientists like you. Plus, it’s a great way to stay updated on new opportunities in the healthcare sector.
We think you need these skills to ace Data Scientist (Predictive Modelling) – NHS
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 with EPR systems and how you've collaborated with different teams.
Showcase Your Communication Skills:Since you'll be working with both technical and non-technical stakeholders, it’s important to demonstrate your ability to communicate complex ideas clearly. Use your application to show us how you can bridge that gap!
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 Models Inside Out
Make sure you can discuss your predictive modelling experience in detail. Be ready to explain the algorithms you've used, why you chose them, and how they performed in real-world scenarios. This will show your depth of knowledge and confidence in your skills.
✨Brush Up on EPR Systems
Since the role involves integrating models into existing EPR systems, it’s crucial to understand how these systems work. Familiarise yourself with common EPR platforms like EPIC and be prepared to discuss any relevant experience you have with them.
✨Communicate Clearly with Everyone
You’ll need to collaborate with both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms. This will demonstrate your strong communication skills and your ability to work effectively within a multidisciplinary team.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in acute healthcare settings. Think about past experiences where you had to adapt your models based on real-time data or feedback from clinicians. Sharing specific examples will highlight your practical experience and adaptability.
