At a Glance
- Tasks: Transform complex data into impactful insights and build AI-powered workflows.
- Company: Join Exemplar Health Care, a leading provider in nursing care for adults with complex needs.
- Benefits: Enjoy competitive salary, career development, and lifestyle discounts.
- Other info: Dynamic team environment with excellent support and growth opportunities.
- Why this job: Make a real difference in healthcare by leveraging data to improve care quality.
- Qualifications: Degree in data science or related field; strong SQL and Python skills 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 Analyst 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 Data Analyst – Modelling & Automation for Exemplar Health Care, you’ll design and build impactful data products that drive insight and help to ensure the vulnerable people in our care receive the highest quality of care. You will be instrumental in transforming complex data into scalable, reliable solutions used across the organisation, from automated, SQL-driven, quality alerting to machine learning models and AI powered workflows. You’ll contribute to the development of a growing portfolio of data products, continuously enhancing and maintaining them to deliver real-world impact.
- Develop and deploy high-impact machine learning models, supported by robust SQL-driven feature engineering
- Monitor, refine, and maintain models using MLOps best practices to ensure accuracy, scalability, and long-term performance
- Design and implement AI-powered workflows, including prompt optimisation and output validation for reliable insights
- Build and enhance scalable data products (e.g. KPI dashboards, alerts, and models) to proactively identify risks and opportunities
- Collaborate with stakeholders to integrate data solutions into production systems, while maintaining clear documentation and continuous improvement
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 Analyst – Modelling & Automation employer: Exemplar Health Care
Exemplar Health Care is an exceptional employer that prioritises the well-being of both its staff and the vulnerable individuals they support. Located in Sheffield, we offer a collaborative work culture with ample opportunities for professional growth, competitive benefits, and a commitment to innovation in data-driven care solutions. Join us to make a meaningful impact while enjoying a supportive environment that values integrity, teamwork, and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst – Modelling & Automation
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Exemplar Health Care!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst – Modelling & Automation at Exemplar Health Care.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Exemplar Health Care.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst – Modelling & Automation at Exemplar Health Care, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst – Modelling & Automation
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Exemplar Health Care, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Exemplar Health Care. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Exemplar Health Care
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Exemplar Health Care!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
