At a Glance
- Tasks: Develop machine learning models and design AI workflows to enhance data insights.
- Company: Join Exemplar Health Care, a leading provider in nursing care for complex needs.
- Benefits: Up to £45,000 salary, great perks, and career development opportunities.
- Other info: Enjoy excellent supervision, peer support, and a dynamic workplace culture.
- Why this job: Make a real difference with data while working in a supportive environment.
- Qualifications: Degree in data science or related field; experience with SQL and Python required.
The predicted salary is between 45000 - 45000 € per year.
Location: Sheffield, S9 1XH
Contract type: Full time, Monday – Friday, 40 hours per week
Rate: Up to £45,000
Make a difference with data. Join Exemplar Health Care. At Exemplar Health Care, our mission is simple, to make every day better for the people we support and the colleagues who care for them. Data plays a vital role in helping us deliver safe, effective, and meaningful care across our complex care homes. We’re looking for a talented Data Scientist to help modernise, optimise and scale our data so we can deliver even smarter insights to our teams across the organisation.
About Exemplar Health Care: Exemplar Health Care is one of the country’s leading nursing care providers for adults living with complex and high acuity needs. As well as stable and secure employment opportunities, we offer great benefits and perks, and plenty of opportunities to learn, develop and progress.
About the role: As a Data Scientist for Exemplar Health Care, you’ll be responsible for developing machine learning models and designing AI-driven workflows to process and extract value from data. You’ll also create reusable features using SQL and Python to support scalable and consistent use across the company’s reporting infrastructure. No two days will ever be the same, but your day-to-day responsibilities will include:
- developing, testing, and deploying predictive machine learning models within the Azure (e.g., Azure ML, Azure AI Foundry)
- monitoring and evaluating model performance, implementing iterative improvements and retraining where required
- designing and implementing AI-driven workflows to analyse data and generate actionable insights across business areas
- evaluating AI outputs for accuracy, bias, and robustness, implementing guardrails and validation approaches where needed
- developing and maintaining our “Data Alerts” product by implementing business rule–based logic to generate accurate, timely flags and alerts from warehouse data, enabling stakeholders to take appropriate operational action and providing important features that can be used for predictive analytics
- working with project teams to understand new data sources and how these can be integrated into new and existing products.
About you: Above all, you’re someone who identifies with our values of fun, integrity, responsiveness, success and teamwork. You’ll also have:
- a strong foundation in statistics, mathematics, or data science, with the ability to apply these concepts to real-world problems
- the ability to use SQL and Python confidently to explore, manipulate, and analyse data from a variety of sources
- understanding of core machine learning concepts and can apply common techniques
- curiosity about AI technologies (e.g. large language models) and an interest in how they can be applied in practical settings
- critical thinking about data quality, assumptions, and limitations when producing analysis or models
- ability to learn quickly and proactively develop new technical skills, particularly in emerging data science and AI tools.
We’re looking for a candidate with a degree (or equivalent experience) in a relevant field such as data science, statistics, mathematics, computer science, or a related discipline. You’ll need experience of progressing models from exploration to implementation, with exposure to deployment or operational use.
What we offer: We offer great rewards and perks including:
- excellent supervision, peer support, learning opportunities and career prospects
- retail and lifestyle discounts
- free DBS check
- electric car salary sacrifice scheme
- 24/7 counselling and support
- Blue Light Card eligibility.
How to apply: Sound good? We’d love to hear from you. Click the button to ‘APPLY NOW’. For an informal chat about joining us, please contact to schedule in a call. Please note, this role is not eligible for sponsorship. Candidates without an existing visa or right to work in the UK are unlikely to be suitable for the post.
Data Scientist in Sheffield employer: Exemplar Health Care
Exemplar Health Care is an exceptional employer, dedicated to making a positive impact in the lives of those we support and our team members. Located in Sheffield, we offer a vibrant work culture that prioritises fun, integrity, and teamwork, alongside excellent benefits such as career development opportunities, peer support, and lifestyle discounts. Join us as a Data Scientist and be part of a forward-thinking organisation where your skills will contribute to delivering meaningful care through innovative data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Sheffield
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and practical tasks. Practice explaining your thought process when solving problems, as this is often just as important as getting the right answer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who want to make a difference with data at Exemplar Health Care.
We think you need these skills to ace Data Scientist in Sheffield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with SQL, Python, and machine learning models. We want to see how your skills align with our mission at Exemplar Health Care!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data and how you can contribute to making every day better for those we support. Let us know why you're excited about this opportunity!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's developing predictive models or working with AI technologies, we love seeing practical examples of your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest 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 Exemplar Health Care
✨Know Your Data Science Stuff
Make sure you brush up on your statistics, machine learning concepts, and programming skills in SQL and Python. Be ready to discuss how you've applied these in real-world scenarios, especially in developing and deploying models.
✨Show Your Curiosity
Exemplar Health Care values curiosity about AI technologies. Prepare to talk about any recent advancements in AI that excite you and how you think they could be applied in a healthcare setting. This shows you're not just knowledgeable but also passionate about the field.
✨Prepare for Practical Questions
Expect to face practical questions or case studies during the interview. Think about how you would approach a problem involving data quality or model performance. Practising these scenarios can help you articulate your thought process clearly.
✨Emphasise Teamwork and Values
Since teamwork is key at Exemplar Health Care, be prepared to share examples of how you've worked collaboratively in the past. Highlight how your personal values align with theirs, particularly around integrity and responsiveness.