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SumUp Services GmbH

SumUp is a leading global financial technology company driven by the purpose of leveling the playing field for small businesses. Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 36 markets worldwide, helping them start, run and grow their businesses. We're committed to leveraging our success to make the world a better place. We have become a member of 1% for the Planet and pledged to donate 1% of the net revenue generated by Solo devices to support environmental, educational, and entrepreneurial causes. To mark 10 years in business, SumUp secured a new substantial funding round at an $8.5B valuation. With small businesses at the heart of what we do, we'll continue to develop new ways to help our customers do business, and our solutions are always intuitive and inclusive. For the second consecutive year, SumUp has been recognised as a Top Global Employer and received the Silver Award on the Stonewall Workplace Equality Index 20223, a remarkable step up from the Bronze Award in 2022 for its commitment to an inclusive and equitable workplace for the LGBTQ+ community.
20/08/2026
Full time
Senior Data Scientist/ML Engineer - Financial Crime
SumUp Services GmbH Berlin, Germany
Help build ML systems that make financial crime harder to hide Financial crime is constantly changing. New patterns and behaviors emerge all the time, and the data we work with is complex. Our work helps make financial activity safer and more trustworthy for merchants, customers, and SumUp. As a   Senior Data Science/ML Engineer   in the Risk AI Engineering Squad, you will build the production systems that turn machine learning into reliable, explainable transaction-monitoring capabilities. You will work across the full model lifecycle: understanding financial-crime typologies, exploring data, engineering features, training and validating models, deploying them at scale, and monitoring their performance over time. This role is designed for someone who is strongest on the engineering side of machine learning and wants to keep growing their data-science depth. You do not need to be a traditional data scientist or ML Engineer. We're looking for someone who enjoys...