Data Scientist

Are you a driven and curious Data Scientist eager to tackle high-impact business challenges? Join UW's Data team and build predictive engines that directly drive customer strategy.

We deliver progress. What you’ll do and how you will make an impact...

In this role, you will develop the "brain" of our customer interactions through Next Best Action (NBA), Customer Segmentation, and Churn Propensity models. You will also own xLTV and ROI modelling to guide profitable decision-making, working closely with product and engineering teams to operationalise these insights.

This isn't a research role. We need a "full-stack" data scientist who can own the end-to-end ML lifecycle. You will take your ideas from initial Proof of Concept (POC) and exploratory analysis all the way through to building, deploying, and maintaining production-ready models, collaborating closely with our Machine Learning Engineers.

Predictive Modelling:

• Design and deploy robust ML models to solve business challenges, specifically Churn Propensity and Next Best Action (NBA) engines.

Customer Analytics:

• Develop advanced Customer Segmentation using clustering techniques to tailor services and communications.

Commercial Valuation:

• Own xLTV and ROI logic, modeling long-term customer value to optimize acquisition and retention spend.

Deployment & Ops:

• Collaborate with Data Engineers to productionise scalable models, ensuring continuous monitoring for drift and performance.

Experimentation:

• Design and analyse A/B tests to validate model effectiveness and measure commercial uplift.

Stakeholder Partnership:

• Translate complex statistical outputs into actionable insights for Marketing, Product, Commercial and Ops stakeholders.

We work together. Your team and the people you will work with…

Our Data teams are small, empowered, and cross-functional, taking full ownership of the solutions they build. We adopt the technologies that best support our goals and continuously raise the bar on how we deliver value.

UW’s Data team is a highly driven, impact-focused group dedicated to understanding customer behaviour and shaping the company’s strategic decisions. The team applies advanced data science and machine learning to uncover key drivers of customer actions and to build business-critical models including Customer Lifetime Value and Acquisition Cost.