Senior Data Scientist Lisbon, Portugal in London
Senior Data Scientist Lisbon, Portugal

Senior Data Scientist Lisbon, Portugal in London

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development 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 flexible working, equity options, wellness days, and dedicated support for your wellbeing.
  • 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 fraud prevention is a plus.
  • Other info: Be part of a diverse team that values integrity, accountability, and sustainability.

The predicted salary is between 48000 - 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. 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 are all about supporting you! We are committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner — we are here to help! And remember: we don’t expect you to meet every single requirement. If you are 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 will partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You will 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 will 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 are an organisation defined by our values; We start with why before we begin any project, to ensure it is 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 is 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 are 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. We are committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition, we are working towards a climate-positive future.

Interested in building your career at GoCardless? Get future opportunities sent straight to your email.

Senior Data Scientist Lisbon, Portugal in London employer: GoCardless

At GoCardless, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions innovation and collaboration. Our Lisbon office provides a unique opportunity to work at the forefront of fintech, with access to cutting-edge technology and a commitment to employee wellbeing, including flexible hybrid working arrangements and generous leave policies. We are dedicated to fostering professional growth, ensuring that every team member can thrive while contributing to our mission of transforming payment solutions globally.
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Contact Detail:

GoCardless Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist Lisbon, Portugal in London

✨Tip Number 1

Network like a pro! Reach out to current or former employees at GoCardless on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for the interview by diving deep into GoCardless's products and values. Show us that you understand how your skills as a Senior Data Scientist can directly impact their mission in payment solutions.

✨Tip Number 3

Practice your coding skills! Since you'll be working with Python and SQL, brush up on those. We love seeing candidates who can demonstrate their technical prowess during the interview.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining the GoCardless team.

We think you need these skills to ace Senior Data Scientist Lisbon, Portugal in London

Machine Learning
Deep Learning
Feature Engineering
A/B Testing
Python
SQL
BigQuery
Google Cloud Platform
Vertex AI
Data Analysis
Fraud Prevention
Technical Leadership
Communication Skills
Collaboration

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 Inside Out

As a Senior Data Scientist, you'll be expected to have a solid grasp of data concepts. Brush up on your knowledge of Python, SQL, and BigQuery, and be ready to discuss how you've used these tools in past projects. Prepare examples that showcase your ability to turn complex data into actionable insights.

✨Showcase Your Problem-Solving Skills

GoCardless is looking for someone who can take vague business problems and turn them into measurable solutions. Think of specific instances where you’ve tackled similar challenges. Be prepared to walk through your thought process and the steps you took to arrive at a solution.

✨Collaborate Like a Pro

Collaboration is key in this role. Be ready to discuss how you've worked with cross-functional teams in the past. Highlight your experience partnering with product managers and engineers, and share examples of how your collaboration led to successful outcomes.

✨Stay Ahead of the Curve

Innovation is at the heart of GoCardless. Research the latest trends in machine learning and fraud prevention before your interview. Bring ideas on how you could integrate these developments into their existing systems, showing that you're not just reactive but proactive in your approach.

Senior Data Scientist Lisbon, Portugal in London
GoCardless
Location: London

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