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. At GoCardless, 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.
Responsibilities
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 stakeholdersRequirements
2+ years managing Data Scientists within complex, high-stakes domains; Hands-on leader comfortable diving into the codebase with strong expertise in Python and SQL, overseeing the full lifecycle of a model from initial prototype to robust production deployment; 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 learningNice to have
Experience in Fintech, Fraud Prevention, or PaymentsBenefits
Wellbeing (dedicated support and medical cover); Lunch (meal voucher or paid lunch when working from the office, depending on location); Work away scheme (work away from your country of residence for up to 20 working days in any 12-month period); Adaptive Working (flexible working); Parental leave; Learning Budget (annual learning budget); Time off (generous holiday allowance, volunteer days for ERG events, one day off to move house)How to apply
Apply online: https://www.jobs.pl/en/oferta/101812304/aplikuj
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