Data Scientist

Data Scientist

Position : Data Scientist

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.

Download our job description to read more.

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 ***email_hidden*** 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.