About GoCardless
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday.
The Role
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.
At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.
What you’ll do
- 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.
Base salary range: £99,200 - £148,800
The good stuff
- Wellbeing - stay healthy with dedicated support and medical cover
- Work away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period
- Adaptive Working - allows you to work flexibly, around your lifestyle
- Parental leave - to suit everyone embarking on life's great adventure
- Learning Budget - lead your own development with an annual learning budget
- Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’)
What excites us
- You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
- You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
- You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
- You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
- You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.
