Ref 12134
Senior Data Scientist | Health and Fitness.
- £75,000
💪 Data Scientist | Using Data to Power Health & Fitness at Scale
Hybrid working | London (3 days per week on-site Clapham Juntion)
We’re hiring a Senior Data Scientist to join a leading UK fitness brand, where data plays a central role in how millions of members engage with fitness, pricing, and experiences every day.
This is an opportunity to work at the intersection of data science, machine learning, and applied AI, helping shape smarter decisions across a high-volume, consumer-facing business — and seeing your work deployed in the real world.
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🏋️ Why this role?
Health and fitness is about behaviour change — and that makes it a fascinating data challenge.
You’ll work with rich customer, operational, and commercial data to:
- Understand how people join, engage, and stay active
- Optimise pricing, retention, and member experiences
- Build predictive models that genuinely influence business strategy
You’ll sit within a well-established Data & Insight team, working alongside Data Engineers, Analysts, and stakeholders across the organisation.
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🔍 What you’ll be doing
Data Science & Modelling
- Analyse customer and behavioural data across acquisition, retention, engagement, and pricing
- Build, validate, and optimise predictive models using robust statistical and ML techniques
- Carry out exploratory analysis to uncover patterns, test hypotheses, and quantify business impact
- Communicate insights clearly to both technical and non-technical audiences
ML Engineering & Production
- Deploy ML models into production within a modern cloud-based environment
- Build automated pipelines and CI/CD workflows to support training, testing, and deployment
- Monitor model performance, data drift, and reliability — keeping predictions accurate over time
- Work closely with Data Engineering to ensure high-quality, governed, model-ready data
Applied AI (Optional but encouraged)
- Explore how modern AI tools can enhance member experiences and internal processes
- Prototype AI-driven ideas through proofs of concept and lightweight demos
- Help shape responsible and practical AI adoption across the business
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🧠 What we’re looking for
You’ll bring
- Strong Python (and/or PySpark) skills for analysis, modelling, and feature engineering
- Solid SQL experience
- A track record of delivering end-to-end predictive modelling projects
- Experience deploying and monitoring ML models in a cloud environment
- The ability to translate complex technical work into clear, commercial insight
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Bonus points for
- Exposure to MLOps or modern ML engineering practices
- Experience with AI prototyping or experimentation
- Cloud ecosystem experience (particularly Azure-based platforms)
- Interest in customer behaviour, subscriptions, or consumer products
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🌱 What you’ll get in return
- The chance to work on data products used by millions of members
- A role where your models move beyond notebooks into production
- Space to experiment, innovate, and explore emerging AI capabilities
- A collaborative, inclusive team culture that values impact over ego
