Data Scientist

Company Description

Checkout.com 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

We’re looking for a Data Scientist to join our Risk Analytics team at Checkout.com. In this role, you will develop, implement, and maintain data-driven models and analytical frameworks to proactively identify and manage merchant risk. You’ll work with large-scale data, apply advanced analytics techniques, and partner closely with stakeholders across the Risk Operations function to deliver actionable insights that drive smarter risk decisions.

How you’ll make an impact

• Design and develop risk models and anomaly detection algorithms to monitor merchant behavior and flag high-risk activity

• Apply machine learning, statistical modeling, and time series analysis to detect patterns and trends in large datasets

• Translate business problems into data science solutions by collaborating with risk, engineering, and product teams

• Continuously evaluate, tune, and improve model performance and operational efficienc

• Develop dashboards, visualizations, and reports to communicate insights to non-technical stakeholders

Qualifications

What we’re looking for

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related quantitative field

• 1+ years of hands-on experience in data science, risk analytics, fraud detection, or similar fields

• Proficiency in SQL and data wrangling for large and complex datasets

• Proven experience with Python or R and key libraries for data analysis and modeling (e.g., pandas, scikit-learn,tidyverse,ggplot2,XGBoost, statsmodels)

• Solid understanding of supervised and unsupervised learning, including anomaly detection, classification, and clustering

• Ability to clearly communicate data findings to both technical and non-technical audiences

Nice to Have

• Experience in payments, fintech, or e-commerce risk domains

• Working knowledge of big data platforms (e.g., Spark, Snowflake, BigQuery, Databricks)

• Experience deploying models using CI/CD tools or MLOps pipelines

• Familiarity with version control (Git) and working in collaborative, agile environments

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.

Take a peek inside life at Checkout.com via

• Our Culture video https://youtu.be/BEwnpHuadSw
• Our careers page https://www.checkout.com/careers
• Our LinkedIn Life pages bit.ly/3OaoN1U  
• Our Instagram https://www.instagram.com/checkout_com/