Location: Manchester (Hybrid – 2 days onsite)
The Opportunity
This is an opportunity to join a high-performing data function within a large-scale, product-led organisation, building intelligent systems that directly influence commercial decision‑making at scale.
You’ll play a key role in developing a next‑generation decisioning platform used by operational and commercial teams to optimise outcomes in real time. This is not a research‑only role — your work will be deployed, used, and measured in live environments.
If you’re motivated by solving complex, high‑impact problems and want to see your models drive real‑world results, this is the kind of environment where your work will genuinely matter.
The Role
As a Senior Data Scientist, you will:
- Design, build, and deploy machine learning models that underpin core decision‑making systems
- Develop pricing, segmentation, and behavioural models to drive commercial optimisation
- Work closely with product, engineering, and business stakeholders to ensure solutions are practical, scalable, and impactful
- Contribute to the development of a production‑grade data science capability, including model deployment, monitoring, and continuous improvement
- Translate complex modelling outputs into clear, actionable insights for non‑technical stakeholders
- Play an active role in shaping best practices, tooling, and standards across the data function
This is a hands‑on role where you’ll take ownership of problems end‑to‑end — from initial concept through to production and performance measurement.
What You’ll Be Working On
- Decisioning and recommendation systems used in live operational environments
- Pricing and optimisation models balancing multiple commercial factors
- Customer and behavioural segmentation models
- Experimentation and measurement frameworks to validate impact
- Model explainability and interpretability for business users
What We’re Looking For
- Strong background in data science, machine learning, or statistical modelling
- Proven experience delivering models into production environments
- Commercial awareness — you understand how data drives business decisions, not just technical outputs
- Experience working cross‑functionally with product, engineering, and business teams
- Ability to operate independently and take ownership of complex problems
- Strong communication skills, with the ability to explain technical concepts clearly
Technical Environment
- Python (e.g. pandas, scikit‑learn, TensorFlow/PyTorch where relevant)
- SQL and large‑scale data processing
- Cloud‑based environments (e.g. AWS, Azure, or similar)
- Experience with model deployment, monitoring, and lifecycle management is highly desirable
Why Join
- Work on high‑impact systems used daily in real‑world decision‑making
- Join a growing data function with strong investment and leadership backing
- Opportunity to shape how data science is applied across a complex organisation
- A collaborative environment where your work is visible and valued
Additional Information
- Hybrid working: 2 days per week onsite in Manchester
- Competitive salary with performance‑related bonus
- Opportunity to work on complex, meaningful problems at scale
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