Senior Data Scientist


Full Time Senior-level / Expert logo
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Posted 3 weeks ago

We're building the connected finance businesses deserve. Unleashing them with tomorrow's technology, today. Our flexible payments solutions help global enterprises — like Samsung, Deliveroo and Adidas — launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
We liberate smart, passionate people to collaborate, innovate and do their best work — faster. That's why we're one of the most valuable fintech firms around. But we're just getting started. By cutting through financial complexity, we'll empower companies to change the world. Join us. Unlock your potential.
Build tomorrow, today. is looking for an experienced data scientist to work on the research and development of Machine Learning (ML) models for fraud detection and other business cases. These algorithms will be deployed to provide near-real-time transaction risk predictions, which’s merchants use to make smart payment routing decisions based on their risk appetite.
You will join an ambitious team of data scientists and engineers who are working to deliver fraud detection ML models to’s merchants, at scale. Your work will significantly move the needle within a product area that has high strategic importance to

What you will be doing:

  • You will be expected to make substantial contributions to the research & development of new ML models.
  • Advise on where the team should be focusing its efforts to improve model performance.
  • Design and implement experiments to produce actionable insights and improve model performance.
  • Collaborate with other data scientists and engineers to productionise ML features/models.
  • Write high-quality Python for feature engineering and model training.

About you:

  • Experience in fintech and/or payments.
  • At least 4 years experience applying ML to solve real-world problems.
  • Strong expertise in: machine learning, probability, statistics.
  • PhD/MSc in Machine Learning or other STEM field.
  • Experience in mentoring more junior members of the team.
  • Experience applying scientific methods and thoughtful experimental design.
  • Strong familiarity with decision tree ensembles.
  • Familiar with distributed cluster-computing (e.g. Spark, Dask, Hadoop).
  • Solid software engineering skills and able to write high-quality Python code.
  • Experience working with scientific Python stack (e.g. pandas, Scikit-learn, XGBoost, SciPy).
  • Experience with SQL databases and key-value stores (NoSQL).
  • Experience with Docker.
  • Experience with AWS or at least another common cloud platform (GCP/Azure).
  • Familiar with the unix shell, and shell scripting (for automating tasks).
What we stand for
At, everything starts with our values, including the experience we offer our people.
#AspireWe supercharge your professional growth with career development programs and leadership training. You can learn your way, with tailored pathways and online platforms. And be inspired at relevant conferences.
#ExcelWe don't stop at 'good' here. We strive for excellence amongst our teams every day and recognize colleagues who take it to the next level through our quarterly peer-nominated Hero awards.
#UniteWe're proud of our global connections and inclusive environment. So we champion this through our colleague-led community groups and celebrate many cultural events together.
Want to see us in action?
Take a peek inside here.
More about Checkout.comWe empower businesses to adapt, innovate and thrive with the connected payments they deserve. Our technology makes payments seamless. We provide the fastest, most reliable payments in more than 150 currencies, with in-country acquiring, world-class fraud filters and reporting, through one API. And we can accept all major international credit and debit cards, as well as popular alternative and local payment methods. launched in 2012, and we now have a team of 1000 people across 17 international offices. To date, we’ve raised a total of $830 million, with our recent Series C valuing us at $15 billion.
We believe in equal is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.
Job region(s): Europe
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