ML Scientist, Regulatory Reporting Tech — Scale Models

Adyen; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Adyen is hiring a Machine Learning Scientist for Regulatory Reporting Technology in Amsterdam. You will build production-ready ML models using big data tools, transforming regulatory reporting and risk analyses with scalable pipelines.

You will work closely with product and engineering teams to translate complex signals into actionable insights, focusing on reliability, deployment, and business impact. This role emphasizes a hands-on, production-first mindset.

Qualifications

• 4+ years of experience as ML engineer or data scientist.
• Production-grade ML code with deployment to big data platforms.
• Proficient in Python and Big Data tools (PySpark, Airflow, Hadoop, Kafka).
• Experience with SparkStreaming/Flink; Docker and Kubernetes a plus.
• Strong communication and ability to work with stakeholders.

Responsibilities

• Build production-ready ML models for regulatory reporting and risk.
• Develop automated root-cause analysis from statistical signals.
• Collaborate with product teams and stakeholders to drive adoption.

Skills

4+ years ML engineer

Python

PySpark

Docker & Kubernetes

Causal Inference

Stakeholder communication

Tools

SparkStreaming/Flink

Airflow

Kafka

Hadoop

Job description

Adyen is hiring a Machine Learning Scientist for Regulatory Reporting Technology in Amsterdam. You will build production-ready ML models using big data tools, transforming regulatory reporting and risk analyses with scalable pipelines.

You will work closely with product and engineering teams to translate complex signals into actionable insights, focusing on reliability, deployment, and business impact. This role emphasizes a hands-on, production-first mindset.