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SeniorГибридПолная занятость

Senior Data Scientist, Payment Intelligence

Оценка ИИ

Отличная позиция в известном финтехе с современным стеком технологий и сильной инженерной культурой. Привлекательный социальный пакет, включая опционы и гибкий график, делает вакансию очень конкурентной.


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Оценка ИИ

Роль требует высокого уровня ответственности за полный жизненный цикл моделей и глубоких знаний в области GCP/Vertex AI. Ожидается опыт работы со сложными архитектурами (Deep Learning, Graph models) и умение лидировать технические процессы в финтех-среде.

Анализ зарплаты

Медиана70 000 €
Рынок55 000 € – 85 000 €
Оценка ИИ

Зарплата в объявлении не указана, но для позиции Senior Data Scientist в Лиссабоне рыночный диапазон обычно составляет от 55 000 до 85 000 евро в год. GoCardless как международная компания часто предлагает зарплаты по верхней границе рынка плюс бонусы и акции.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Data Scientist position within the Payment Intelligence team at GoCardless. With a solid background in developing and deploying machine learning models at scale, I am particularly drawn to your mission of leveraging bank account data to enhance payment success and prevent fraud. My experience in building production-grade ML solutions aligns perfectly with your stack centered around GCP and Vertex AI.

In my previous roles, I have successfully led the full lifecycle of model development, from initial discovery and feature engineering to A/B testing and continuous monitoring. I am excited by the prospect of applying sophisticated architectures, such as deep learning or graph-based models, to solve high-stakes fraud challenges. I pride myself on writing clean, high-quality code and enjoy collaborating with cross-functional teams to turn complex data into mission-critical solutions.

GoCardless's commitment to innovation and its values-driven culture resonate with my professional goals. I am eager to bring my technical leadership and passion for fintech to your team in Lisbon, helping to define the technical roadmap for Payer Fraud Prevention and contributing to the continued success of your global payment network.

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Откликнитесь в gocardless уже сейчас

Присоединяйтесь к GoCardless, чтобы создавать передовые ML-решения для защиты глобальных платежей и развивать финтех-инновации в Лиссабоне!

Описание вакансии

About Us at GoCardless

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.

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 latestD&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. Check out our sustainabilityaction plan here.

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

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Навыки

  • Python
  • SQL
  • Google Cloud Platform
  • Vertex AI
  • BigQuery
  • Machine Learning
  • Deep Learning
  • Feature Engineering
  • A/B Testing
  • Fraud Detection

Возможные вопросы на собеседовании

Проверка опыта работы с основным стеком компании.

Расскажите о вашем опыте развертывания моделей в Vertex AI и управления их жизненным циклом в GCP.

Оценка способности решать специфические задачи по борьбе с мошенничеством.

Какие архитектуры (например, графовые или последовательные модели) вы бы использовали для обнаружения аномалий в платежных транзакциях и почему?

Проверка навыков работы с продуктом и бизнесом.

Как вы подходите к трансляции сложных ML-метрик в понятные бизнес-результаты для нетехнических стейкхолдеров?

Оценка инженерной культуры кандидата.

Как вы обеспечиваете качество и поддерживаемость кода в проектах по машинному обучению при работе в кросс-функциональной команде?

Проверка опыта проведения экспериментов.

Опишите ваш процесс проектирования и анализа результатов A/B тестов для ML-моделей в реальном времени.

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