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You will manage and mentor a team of Data Scientists while overseeing the full end‑to‑end lifecycle of mission‑critical ML models that power real‑time payment decisions, from concept through production on GCP/Vertex AI.
2+ years of managing Data Scientists in high‑stakes domains, strong hands‑on Python and SQL skills, experience with complex data environments and model architectures (deep learning a plus), and the ability to translate technical ML concepts for cross‑functional stakeholders.
Data and AI are core to GoCardless’ mission to improve payment success and prevent fraud, so the role directly shapes the strategic roadmap and delivers the intelligent models that power the global payment network.
A decisive, collaborative leader who enjoys mentoring technical talent, diving into code, and solving real‑time fintech challenges such as fraud prevention and payment optimisation at scale.
GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday.
We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless.
Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach.
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, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.
Base salary range: £99,200 - £148,800
Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.
We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision.
As of April 2025, we had 806 employees (GeeCees) globally, with 524 based in the UK, 163 based in Latvia and 119 across our other offices.
To ensure that we're representative of the world around us - and to be able to review relevant benchmarks - we ask GeeCees to voluntarily disclose diversity data. This year, the proportion of GeeCees providing data increased to 88% (up from 79% in 2024). With regards to diversity within GoCardless, we can see GeeCees identifying as:
Asian, Black, Mixed or Other — 25%
Neurodiverse — 9%
LGBTQIA+ — 9%
Disabled — 1%
Average age — 33
Female — 45%
Male — 55%
We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support.
If you want to learn more, you can read about our Employee Resource Groups and objectives here
Sustainability
We’re committed to reducing our impact on the environment, leaving a more sustainable world for future generations. Check out our sustainability action plan here.
Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.
