Machine Learning Scientist - Regulatory Reporting Technology

Requirements

• You have 4+ years of experience as a Machine Learning Engineer or Data Scientist (Anomaly Detection, Time-Series, or Signal Processing).
• 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).

Nice to Haves

• Experience with SparkStreaming/Flink, Docker and Kubernetes is a plus.
• You have a strong interest in Causal Inference, you want to prove why something happened, not just that it happened.

What You'll Be Doing

• Build – Design and scale production-ready ML models to support regulatory reporting and risk requirements. You will own the end-to-end lifecycle, from feature engineering within our Big Data ecosystem (Spark/Hadoop) to building the internal infrastructure.
• Discover – Move beyond simple detection to build automated root-cause analysis. You will develop logic that translates complex statistical signals into actionable recommendations.
• Collaborate – Work at the heart of a product-driven team. You will sit close to our users, gathering continuous feedback to ensure our technical solutions solve real-world business friction and drive product adoption.

Perks and Benefits

• Our unique approach is a product of our diverse perspectives. We welcome you to be your true self at Adyen.
• Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days.
• This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.