Senior Data Scientist, Payment Intelligence

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

Responsibilities

Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring; Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions; Raise the team's collective bar through hands-on technical leadership and knowledge sharing; Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless

Requirements

Degree (or PhD) in a STEM discipline or equivalent commercial experience; Hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models; Ability to translate complex ML concepts into practical product solutions and communicate clearly to non-technical peers; Comfort owning the full lifecycle from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing; Lead by example, writing clean high-quality code and raising the team's technical bar through knowledge sharing and code best practices

Nice to have

Fintech; Fraud Prevention; Payments

Benefits

Wellbeing - stay healthy with dedicated support and medical cover; Work away scheme - option to work away from country of residence for up to 90 days in any 12 month period; Adaptive Working - work flexibly around your lifestyle; Parental leave - to suit everyone; Learning Budget - annual learning budget; Time off - generous holiday allowance, plus 3 annual volunteer days, plus 4 annual business-wide wellness days