Machine Learning Scientist (Regulatory Reporting Technology)

Join Adyen, a leading global payment company, as a Machine Learning Scientist. In this role, you will design and scale production-ready ML models to support regulatory reporting and risk requirements. You will work closely with users to gather feedback and ensure our technical solutions drive product adoption. The position offers a range of benefits, including a global exchange program, weekly happy hour, delicious healthy lunches, a phantom share package, a yearly trip to Amsterdam, paid holidays, and work from home opportunities.

• Design and scale production-ready machine learning models to support regulatory reporting and risk requirements.
• Develop logic that translates complex statistical signals into actionable recommendations, moving beyond simple detection to automated root-cause analysis.
• Collaborate with product-driven teams, gathering continuous feedback to ensure technical solutions solve real-world business friction and drive product adoption.
• You have a strong interest in Causal Inference, you want to prove why something happened, not just that it happened
• Experience with SparkStreaming/Flink, Docker and Kubernetes is a plus
• You have an Engineering-First mindset. You treat ML code like production code and are comfortable managing your own deployments and infrastructure
• You are proficient in Python and Big Data frameworks (PySpark, Airflow, Hadoop, Kafka)
• You have 4+ years of experience as a Machine Learning Engineer or Data Scientist (Anomaly Detection, Time-Series, or Signal Processing)
• You are a pragmatic problem solver. You prioritize business impact and reliability over model complexity, choosing the right tool for the job to ship solutions that work today
• You are proactively taking the lead in projects, from ideation to deployment. You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes to a wide range of audiences
• You can confidently work in a product team with demanding stakeholders, are able to communicate effectively and have the ability to drive the team’s roadmap, alongside the product and engineering leadership of the team
• Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!