Data Science Manager

About Us GoCardless is a London-based fintech that leverages bank account data to deliver high-value, intelligent payment solutions for businesses worldwide. 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 Data Science Manager 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. Our stack is centered around Google Cloud Platform and Vertex AI.

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 Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions.

Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.

What Excites You Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale.

Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What Excites Us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase, with strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment.

A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base Salary Range £99,200 - £148,800 (based on role, job level, location, and market data) The Good Stuff Wellbeing – health support and medical cover Work away scheme – option to work away from your country of residence for up to 90 days in any 12-month period Adaptive Working – flexible working arrangements to suit your lifestyle Equity – all permanently employed GCs receive equity Parental leave – to suit everyone embarking on life's great adventure Learning Budget – annual budget for personal development Time off – generous holiday allowance, 3 annual volunteer days, 4 annual business-wide wellness days ("GC Fridays") Life at GoCardless We start with why before we begin any project, to ensure it’s aligned with our mission.

We act with integrity, always. We care deeply about what we do and we know it’s essential that we stay humble while we do it. Working this way creates the GC magic – the reason we all love showing up to work.

Diversity & Inclusion We’re building the bank payment network of the future and our ambition is to move money anywhere, for anything, for anyone. We aim to build a team of GeeCee’s as diverse as the world. June 2022 data: Female Employees – 46% Ethnic background – 32% Identify as LGBTQIA – 10% Neurodivergent – 9% We shall provide reasonable adjustments to make our recruitment process as remarkable and accessible as possible.

Sustainability We’re committed to reducing our environmental impact. In 2021 we became co-founders of the Tech Zero coalition. We aim to reduce our impact and create positive change on the natural world. #J-18808-Ljbffr