Senior Data Scientist, Payment Intelligence

<div class="content-intro"><h3><strong>About us</strong></h3> <p>GoCardless, a Mollie company, is a global leader in bank payments. 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.<br><br>We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific.&nbsp; For more information, please visit<span><a href="http://www.gocardless.com" target="_blank"> www.gocardless.com</a></span> and follow us on LinkedIn<span><a href="https://www.linkedin.com/company/gocardless" target="_blank"> ----- is the leading payments and financial services partner for business, rooted in Europe, with global reach.</p></div><h3>The role</h3> <p>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.</p> <p>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.</p> <p>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.</p> <h3><strong>What you’ll do</strong></h3> <ul> <li>Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.</li> <li>Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.</li> <li>Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.</li> <li>Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.</li> </ul> <h3><strong>What excites you</strong></h3> <ul> <li>Being a self-starter who thrives on taking a vague business problem and owning the journey from the