Data Scientist

  • Full-time
  • CKO Department: Technology

Company Description is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.

Job Description

About the Role is looking for a data scientist to work on research and development of Machine Learning (ML) models for fraud detection and other business problems. 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'll join an enterprising team of data scientists and engineers who are working to deliver fraud detection ML models at scale. Your work will significantly move the needle within a product area that has high strategic importance to

Key Responsibilities

  • Work with distributed computing technologies (e.g. Spark, Dask) to: conduct exploratory analysis to test hypotheses, engineer ML features, and train/evaluate ML models.
  • Design, implement, and interpret experiments to produce practical insights and improve model performance.
  • Write high-quality Python for feature engineering and model training.
  • Drive the collection of new data and enrichment of existing data sources.


About You

  • At least 2 years experience developing machine learning models to solve business problems.
  • Strong understanding of: machine learning, probability and statistics.
  • Experience applying scientific methods and thoughtful experimental design.
  • Able to write high quality Python code.
  • Experience with SQL databases.
  • Experience working with Jupyter Notebooks.

Nice to have

  • Experience in fintech and/or payments.
  • Familiar with distributed general-purpose cluster-computing (e.g. Spark, Dask, Hadoop).
  • 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).

Additional Information

Apply without meeting all requirements statement 

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use. 

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us. 

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.

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