With over a decade of industry presence, this brand has expanded to more than 250 locations across the UK and proudly supports a community of over 500,000 members. They’ve built a reputation not just for their size and scale, but for a people-first culture and strong core values that are truly embedded across the business.

This is an exciting opportunity for a commercially minded Data Scientist to take ownership of end-to-end modelling and ML pipeline development within a fast-paced, consumer-focused organisation.

You’ll lead impactful work across the full lifecycle — from exploration and predictive modelling to deployment and automation — using modern cloud tooling to shape smarter pricing, retention, and customer insight. Alongside hands-on modelling, you’ll help strengthen MLOps practices and contribute to emerging AI initiatives, working closely with engineering and analytics teams to deliver scalable, high-value solutions.

Key attributes of the suitable Data Scientist include:

• Strong technical foundation in Python, SQL, and cloud-based ML workflows, with experience building and deploying end-to-end predictive models.
• Exposure to MLOps or ML engineering practices, including pipelines, CI/CD, model monitoring, and working with tools like Azure ML or Fabric.
• Commercially minded communicator who can translate data into clear, actionable insight and work collaboratively with technical and non-technical stakeholders.