Data Scientist | Health & Fitness in London

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Job Description
Data Scientist | Health & Fitness | London / Hybrid | Up to £65,000 DOE + 10% Bonus
We’re currently working with one of the UK’s most recognised names in the Health & Fitness industry. They're looking to hire a Data Scientist to join their ambitious and growing team.
The Company
With over a decade of industry presence, this brand has expanded to more than 200 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.
The Role
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.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
Location:
London
Job Type:
FullTime
Category:
Data, Scientist, Science

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