Data Science Manager

About the role

As a Data Science Manager within the Payment Intelligence team, you will lead a team of Data Scientists to develop and deploy machine learning models that power global payment solutions. You will own the full lifecycle of these algorithms, from initial concept to production-ready code, while partnering with cross-functional teams to drive strategic impact. This role requires a hands-on leader who can bridge technical complexity with business value to improve payment success and fraud prevention.

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 stakeholders.

Required skills

• Python
• SQL
• Machine Learning
• GCP
• Vertex AI
• BigQuery
• Team Leadership

Nice to have

• Fintech
• Fraud Prevention
• Deep Learning

Benefits

• Medical cover
• Work away scheme
• Adaptive Working
• Parental leave
• Annual learning budget
• Generous holiday allowance
• Volunteer days
• Wellness days

About the Company

GoCardless is a global leader in bank payments, processing over US$130bn annually across 30+ countries. The company provides an end-to-end payment platform featuring AI-powered solutions to improve payment success and reduce fraud for over 100,000 businesses.