Senior Data Scientist, Payment Intelligence

GoCardless Ltd; Greater London; In loco; GBP 99.000 - 149.000; Tempo pieno

Vantaggi offerti da questo lavoro

Wellbeing

Work away scheme

Adaptive Working

Parental leave

Learning Budget

Time off

Descrizione del lavoro

the company is a UK-headquartered fintech partner focused on secure bank payments and payer fraud prevention. We seek a Senior Data Scientist to own end-to-end ML lifecycle, leverage Python/SQL on GCP, and collaborate across product, engineering and design teams to deliver scalable fraud solutions.

Based in London, you will advance production-grade models on Vertex AI, drive innovation, and shape the technical roadmap while mentoring teammates and delivering measurable business impact.

Competenze

• Degree (or PhD) in a STEM discipline or equivalent commercial experience.
• Hands-on experience with advanced architectures (deep learning, graph-based, or sequence-based models) in Fintech, Fraud Prevention, or Payments.
• Ability to translate ML concepts into practical product solutions and communicate to non-technical peers.
• Experience owning the full lifecycle from analysis and feature engineering to prototyping, validation, and live A/B testing.
• Willingness to write clean, production-grade code and raise the team’s technical bar.

Mansioni

• Lead 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 the company.

Conoscenze

Python

SQL

Vertex AI

GCP

Machine Learning

Fraud Prevention

Team Leadership

Formazione

STEM degree

PhD

Strumenti

BigQuery

Descrizione del lavoro

About us

the company, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use the company 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.the company.com and follow us on LinkedIn ----- is the leading payments and financial services partner for business, rooted in Europe, with global reach.

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 the company, 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 the company.

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 the company 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 the company

We're an organisation defined by ourvalues; 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 the company, 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 the company 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 the company via Twitter, Instagram and LinkedIn.