Data Science Manager

Join to apply for the Data Science Manager role at Go Cardless

GoCardless is a global bank‑payment company that helps over 100,000 businesses collect and send payments through direct debit, real‑time payments and open banking. We process US $130 bn+ of payments annually in 30+ countries, using AI‑powered solutions to improve payment success and reduce fraud.

We’re headquartered in the UK with offices in London, Leeds, Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we are committed to an inclusive and accessible hiring process. If you need extra support or adjustments, reach out to your Talent Partner.

Data sits at the core of our mission. 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 initial concept to production‑ready code that powers our global payment network.

• Manage and mentor a high‑performing team of Data Scientists, fostering a culture of technical excellence and supporting 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 building end‑to‑end technical solutions from concept to production.
• Influence Senior Leadership, acting as the bridge between technical complexity and business value.

• Driving cutting‑edge advancements in Data, AI and Machine Learning within the payments space.
• Mentoring a high‑performing team and fostering a culture of technical excellence.
• Solving 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.

• 2+ years managing Data Scientists within complex, high‑stakes domains.
• Hands‑on leadership with strong expertise in Python and SQL, overseeing the full lifecycle of a model.
• Decisive collaboration, navigating technical trade‑offs and translating ML concepts for cross‑functional stakeholders.
• Familiarity with complex data environments and model architectures, including deep learning in Fintech, Fraud Prevention or Paymentsԥсны.

Base salary ranges are based on role, job level, location and market data. We pay between the minimum and the mid‑point of the pay range until performance can be assessed. Offers consider level of experience, interview assessment, budgets and parity across similar roles.

• Wellbeing
  :
  Dedicated support and medical cover.
• Work Away Scheme
  :
  Work from anywhere for up рецепт 90 days in any 12‑month period.
• Hybrid Working
  :
  Flexible in‑office days determined by your team.
• Equity
  :
  All permanently employed Gee Cees get equity to share in our success.
• :
  Tailored leave.
• Time off
  :
  Annual holiday leave by location, 3 volunteer days and 4 wellness days.

We are defined by our values:
Start with why, Make it happen, Act with integrity, Care deeply, Be humble. Our values guide culture gagné and project execution.

• 45% identify as women.
• 23% identify as Black, Asian, Mixed or Other.
• 10% identify as LGBTQIA+.
• 9% identify as neurodiverse.
• 2% identify as disabled.

Learn more about our Employee Resource Groups, objectives and D&I report.

We are committed to reducing our environmental impact and are part of the Tech Zero coalition, working toward a climate‑positive future. Check out our sustainability action plan.