Machine Learning Scientist - Regulatory Reporting Technology

Adyen is seeking a Machine Learning Scientist to join the Regulatory Reporting Tech team in Amsterdam. The role involves designing and scaling production-ready ML models for regulatory reporting and risk evaluation, working with Big Data technologies, and collaborating with a product-driven team. Candidates should have 4+ years of experience in ML or data science, strong Python and Big Data skills, and an engineering-first mindset.
Technical (Must-have)   Python
Py Spark
Apache Airflow
Apache Hadoop
Apache Kafka
Machine Learning
Anomaly Detection
Time-Series Analysis
Signal Processing
Causal Inference
Feature Engineering
Big Data
Docker
Kubernetes
Spark Streaming
Soft Skills   Communication
Problem Solving
Leadership
Stakeholder Management
Pragmatism
Collaboration
Technical (Nice-to-have)   Apache Flink
Docker
Kubernetes

Key Responsibilities   Design and scale production-ready ML models to support regulatory reporting and risk requirements.
Own the end-to-end lifecycle from feature engineering within the Big Data ecosystem (Spark/Hadoop) to building internal infrastructure.
Develop logic that translates complex statistical signals into actionable recommendations for automated root-cause analysis.
Collaborate with a product-driven team, gathering continuous feedback to ensure technical solutions solve real-world business friction and drive product adoption.
Python, PySpark, Apache Airflow, Apache Hadoop, Apache Kafka, Machine Learning, Anomaly Detection, Time-Series Analysis, Signal Processing, Causal Inference, Feature Engineering, Big Data, Docker, Kubernetes, Spark Streaming, 4 years of relevant experience