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We are looking for an experienced Data Scientist to join our growing Machine Learning Craft at Mollie. Our Craft is set up as a central entity that provides ML and GenAI capabilities across Mollie. We primarily develop predictive ML models that provide decision intelligence to our colleagues in various Domains such as Monitoring, Payments, Financial Services, and Customer Experience. We also maintain a cloud-based ML Platform, which we use for both model development and production.
In this role, you will be focused on developing ML models for the Monitoring Domain, to tackle challenges in integrity risk, credit risk, fraud detection, transaction monitoring, and more. This is a hands-on role, where you will spend most of your time developing in Python together with our team of DSs and MLEs. You will also be interfacing directly with subject matter experts & stakeholders, e.g. to evaluate the feasibility of potential DS use cases or to explain how your model works during a Team Review.
The Monitoring Domain at Mollie consists of three teams: Credit & Fraud Monitoring, Customer Monitoring, and Transaction Monitoring. As a Data Scientist, you will belong to the Machine Learning Craft, linking you with 10 other Data Scientists & Machine Learning Engineers across Mollie, while working closely with the 3 other Data Scientists dedicated to the Monitoring Domain.
This role is based at Mollie’s new Milan Hub. You will be part of a geographically-distributed team (Amsterdam/Lisbon/Milan) that is comfortable collaborating virtually & hybrid.
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