
GoCardless · London
About us GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments t...
About us
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect
and send payments through direct debit, real-time payments and open banking.
GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and
one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce
fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions.
We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia,
Portugal and the United States.
At GoCardless, we're all about supporting you! We’re committed to making our hiring process inclusive and accessible. If you need
extra support or adjustments, reach out to your Talent Partner — we’re here to help!
And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!
Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless,
our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.
As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment
network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of
changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.
You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand
into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and
support high-performance models at scale.
and continuous monitoring.
customers.
architectures.
fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
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 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. Working this way creates the GC magic- the reason we all love showing up to work.
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%
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.
About us GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We’re committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner — we’re here to help! And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply! THE ROLE 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 Senior Data Scientist 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. WHAT YOU’LL DO * 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. WHAT EXCITES YOU * Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution. * An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges. * Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job. * Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. WHAT EXCITES US * 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. 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. (SOME OF) THE GOOD STUFF * Wellbeing - stay healthy with dedicated support and medical cover * Work away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period * Adaptive Working - allows you to work flexibly, around your lifestyle * Parental leave - to suit everyone embarking on life's great adventure * Learning Budget - lead your own development with an annual learning budget * Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’) LIFE AT GOCARDLESS 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 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. Working this way creates the GC magic- the reason we all love showing up to work. DIVERSITY & INCLUSION 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.
About us GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We’re committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner — we’re here to help! And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply! THE ROLE 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. WHAT YOU’LL DO * 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. WHAT EXCITES YOU * Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. * Mentoring a high-performing team and fostering a culture of technical excellence. * Solving the 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 to drive fintech innovation. WHAT EXCITES US * 2+ years managing Data Scientists within complex, high-stakes domains. * A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. * A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. * Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). 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. (SOME OF) THE GOOD STUFF * Wellbeing - stay healthy with dedicated support and medical cover * Work away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period * Adaptive Working - allows you to work flexibly, around your lifestyle * Parental leave - to suit everyone embarking on life's great adventure * Learning Budget - lead your own development with an annual learning budget * Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’) LIFE AT GOCARDLESS 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 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. Working this way creates the GC magic- the reason we all love showing up to work. DIVERSITY & INCLUSION 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.
About us GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We’re committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner — we’re here to help! And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply! THE ROLE This role will be working at the heart of the GoCardless product in our Payment Flows team, within the Bank Payment Network Group. The team ensures that merchant money is settled quickly, with high certainty, on every payment scheme we provide. You will define and build propositions that provide market leading outcomes: building the capabilities to settle money faster, leveraging ML to confirm payments sooner, and unlocking payment capabilities that give merchants the best experience. The Senior Product Manager will work closely with the team’s Engineering Manager and Data Scientist to lead the product improvements that help our customers and drive revenue. You will also collaborate closely with Product Marketing, Customer Success, and other Product teams to achieve great outcomes for our customers and work towards our product vision. WHAT EXCITES YOU * Delivering customer and business value: Being relentlessly focused on understanding and solving the customer problems which result in them using GoCardless as much as they can. * Problem discovery and prioritisation: Taking complex and ambiguous product problems and structuring these effectively. This includes clearly defining the problem space, the impact of the problem and your prioritisation process. * Data-led decision-making: Using quantitative and qualitative evidence to support your decisions and opportunity identification. * Defining Product Strategy: Identifying key customer segments, and our approach to meeting their needs over the longer term in ways that create value for them and GoCardless * Influencing and communication: Building collaborative relationships with your team, stakeholders and executives to deliver change effectively across your remit. This includes growing to become the ‘go-to’ person for your product area; translating complex, technical problems into understandable concepts; and convincing stakeholders of the best approach using structured reasoning. * Leadership: Setting direction and coordinating action across a range of teams and functions * Shipping stuff: Working with your team to support changes to completion, delivering consistent positive impact across your product area. Being comfortable delivering a range of projects: from MVP experiments testing a hypothesis to a new feature. WHAT EXCITES US * Delivery of impact: You are focused on delivering business value through experimentation and have experience of doing that. * Exceptional problem-solving and analytical skills: We want our Product Managers to have an outstanding ability to tackle valuable customer and business problems. At GoCardless we start by asking ‘why?’, and a data-led approach is central to how we run Product. You have a customer centric approach and are comfortable with qualitative and quantitative analysis. * High agency: We’re after people who aren’t afraid of a challenge and will take ownership of problems they come across and help to resolve them and adapt to a constantly changing environment. * Collaborative leaders: Product roles bring responsibility without direct authority. We’re looking for leaders who can motivate and earn the trust of stakeholders and teams with a collaborative approach. We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply. Base salary range: £100,000 - £150,000 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 (£100,000 - £125,000) 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. (SOME OF) THE GOOD STUFF * Wellbeing - stay healthy with dedicated support and medical cover * Work away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period * Adaptive Working - allows you to work flexibly, around your lifestyle * Parental leave - to suit everyone embarking on life's great adventure * Learning Budget - lead your own development with an annual learning budget * Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’) LIFE AT GOCARDLESS 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 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. Working this way creates the GC magic- the reason we all love showing up to work. DIVERSITY & INCLUSION 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.