Senior Data Scientist, Payment Intelligence

Senior Data Scientist, Payment Intelligence

Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the delivery of innovative data models to enhance payment solutions and prevent fraud.
  • Company: Join GoCardless, a global leader in bank payments with a commitment to innovation.
  • Benefits: Enjoy competitive salary, health cover, flexible working, and equity options.
  • Other info: Be part of a diverse team dedicated to sustainability and inclusivity.
  • Why this job: Make a real impact in fintech by solving high-stakes payment challenges with cutting-edge technology.
  • Qualifications: Degree in STEM or equivalent experience; expertise in ML and payment systems is a plus.

The predicted salary is between 43200 - 72000 £ per year.

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 about 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.

The Good Stuff!

  • Wellbeing: Dedicated support and medical cover to keep you healthy.
  • Work Away Scheme: Work from anywhere for up to 90 days in any 12‑month period.
  • Hybrid Working: Our hybrid model offers flexibility, with in‑office days determined by your team.
  • Equity: All permanently employed GeeCees get equity to share in our success.
  • Parental leave: Tailored leave to support your life's great adventure.
  • Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days.

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 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.

Diversity & Inclusion:

We’re building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. As of July 2024, here’s where we stand:

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

If you want to learn more, you can read about our Employee Resource Groups and objectives here as well as our latest D&I Report.

Sustainability at GoCardless:

We’re committed to reducing our environmental impact and leaving a sustainable world for future generations. As co‑founders of the Tech Zero coalition, we’re working towards a climate‑positive future.

Find out more about Life at GoCardless via X, Instagram and LinkedIn.

Senior Data Scientist, Payment Intelligence employer: GoCardless

GoCardless is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. With a strong focus on employee growth, we offer comprehensive health support, competitive salaries, and the flexibility to balance work and life effectively. Join us in our London office to be part of a forward-thinking fintech company that values your contributions and empowers you to make a meaningful impact in the payments landscape.

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Contact Details:

GoCardless Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist, Payment Intelligence

Tip Number 1

Network like a pro! Reach out to current employees at GoCardless on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. It’s a great way to get insider info and show your genuine interest in the company.

Tip Number 2

Prepare for those technical interviews! Brush up on your Python, SQL, and machine learning concepts. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!

Tip Number 3

Show off your passion for fintech and payment solutions! During interviews, share your thoughts on recent trends in the industry or innovative ideas you have. This will demonstrate that you’re not just looking for a job, but you’re excited about contributing to GoCardless’s mission.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team. Let’s make it happen together!

We think you need these skills to ace Senior Data Scientist, Payment Intelligence

Machine Learning
Deep Learning
Feature Engineering
A/B Testing
Python
SQL
BigQuery

Some tips for your application 🫡

Show Your Passion:When you're writing your application, let your enthusiasm for the role shine through! We want to see why you're excited about being a Senior Data Scientist at GoCardless and how you can contribute to our mission.

Tailor Your CV:Make sure your CV is tailored to the job description. Highlight your experience with Python, SQL, and any relevant projects that showcase your skills in fraud prevention and machine learning. We love seeing how your background aligns with what we do!

Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your experience and achievements. We appreciate when candidates can communicate complex ideas simply, especially since you'll be working with non-technical peers.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at GoCardless!

How to prepare for a job interview at GoCardless

Know Your Data Science Stuff

Make sure you brush up on your data science fundamentals, especially around machine learning and fraud prevention. Be ready to discuss your experience with Python, SQL, and BigQuery, as well as any advanced architectures you've worked with. This is your chance to show how you can turn complex data into actionable insights!

Showcase Your Problem-Solving Skills

Prepare to talk about specific examples where you've taken a vague business problem and turned it into a successful solution. Think about the end-to-end process you followed, from feature engineering to A/B testing. This will demonstrate your ability to own the full lifecycle of a project, which is key for this role.

Collaborate Like a Pro

Since you'll be working closely with Software Engineers, Product Managers, and Designers, it's important to highlight your teamwork skills. Be ready to discuss how you've collaborated in the past and how you can contribute to a cross-functional team. Show that you can communicate complex ideas clearly to non-technical peers!

Stay Updated on Industry Trends

Research the latest developments in machine learning and payment intelligence. Being able to discuss current trends and innovations will not only impress your interviewers but also show that you're proactive about driving innovation at GoCardless. Bring some fresh ideas to the table!