Senior Data Scientist, Payment Intelligence

GoCardless
London, Lisbon, Riga
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Leadership","Communication","Collaboration","Problem-solving","Mentoring"]

Senior Data Scientist in the Payment Intelligence team turning big ideas into production-ready ML solutions for fraud prevention in fintech. You’ll own end-to-end model lifecycles on a Google Cloud Vertex AI stack, collaborate with engineers and product managers, and raise the team’s technical bar through hands-on leadership and knowledge sharing.

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FursaFursa
GoCardless
GoCardless
8 months ago

Senior Data Scientist, Payment Intelligence

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Senior Data Scientist in the Payment Intelligence team turning big ideas into production-ready ML solutions for fraud prevention in fintech. You’ll own end-to-end model lifecycles on a Google Cloud Vertex AI stack, collaborate with engineers and product managers, and raise the team’s technical bar through hands-on leadership and knowledge sharing.
Location: London, Lisbon, Riga
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key 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.

Key Requirements

  • •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.
Experience:FintechPaymentsFraud preventionMachine learningFraud detection
Education:Master's
Skills:LeadershipCommunicationCollaborationProblem-solvingMentoring
Languages:English
Tech Stack:PythonSQLBigQueryGoogle Cloud PlatformVertex AI

Company Brief

GoCardless
Provides an online payments platform that enables businesses to collect recurring and one-off payments via bank debit (ACH/Direct Debit) across multiple countries, simplifying billing, reconciliation, and global payment workflows.
Industry: Payments
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: London, United Kingdom
Founded: 2011
WebsiteLinkedIn