Senior Data Scientist
Location: Manchester (Hybrid – 2 days onsite)
Salary: £85,000 + 10% bonus
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