Senior Data Scientist, Payment Intelligence

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

Senior Data Scientist in GoCardless’s Payment Intelligence team leads end-to-end model development for fraud prevention, from discovery and feature engineering through production, A/B testing, and monitoring. You’ll collaborate with software engineers, product managers, and designers, leverage GCP Vertex AI with Python, SQL, and BigQuery, and mentor the team while pushing ML innovations for fintech payments.

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GoCardless
GoCardless
7 months ago

Senior Data Scientist, Payment Intelligence

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Last checked: 12 hours agoStatus: Live

Job Summary

Senior Data Scientist in GoCardless’s Payment Intelligence team leads end-to-end model development for fraud prevention, from discovery and feature engineering through production, A/B testing, and monitoring. You’ll collaborate with software engineers, product managers, and designers, leverage GCP Vertex AI with Python, SQL, and BigQuery, and mentor the team while pushing ML innovations for fintech payments.
Location: Riga, Lisbon, London
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.

Pay and Benefits

Equity and Bonus:Equity
Perks:Hybrid WorkingEquityParental LeaveTime Off

Key Requirements

  • •You hold a degree (or PhD) in a STEM discipline or equivalent commercial experience
  • •Hands-on experience with sophisticated architectures (deep learning, graph-based, or sequence-based models)
  • •Experience in Fintech, Fraud Prevention, or Payments is a big plus
  • •Ability to translate complex ML concepts into practical product solutions and communicate them to non-technical peers
  • •Ownership of the full lifecycle from deep-dive analysis to prototyping, validation, and live A/B testing
Experience:FintechPaymentsFraud prevention
Education:Bachelor'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