Data Scientist

This is an applied data science role partnering closely with the Customer team. You will not just design models. You will build and ship them. The work spans customer lifetime value, survival analysis, incrementality testing and channel mix: problems that are technically demanding and commercially consequential. You will work directly with marketing and commercial stakeholders to frame the right question, build the right model, and translate outputs into decisions.

This is a senior individual contributor role. Your influence is through technical excellence and thought leadership, not line management. The expectation is that you raise the bar for how data is used in Marketing decisions and, over time, help define what rigorous applied data science looks like at Pet Circle more broadly. You will partner closely with the Data Platform engineering team to get models into production and ensure outputs are surfaced reliably.

Build and own lifetime value and churn models that drive how Marketing prioritises customer segments and allocates spend across acquisition and retention channels.

Design and run incrementality experiments, randomised controlled trials and quasi-experiments, that establish whether our marketing interventions actually cause the outcomes we attribute to them, and build the standards that govern how these experiments are set up, powered and interpreted.

Develop spend-curve and scenario planning models that translate channel investment into forecasted incremental outcomes, giving commercial and marketing teams the tools to make allocation decisions with confidence.

Work directly with marketing and commercial stakeholders to frame hypotheses, design clean tests and communicate results, including the uncertainty in them, in terms non-technical audiences can act on.

Productionising models, monitor for drift and maintain reliability over time, with a clear path from prototype to production.