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# Machine Learning Scientist - Regulatory Reporting Technology

- **Company:** Adyen N.V.
- **Location:** Amsterdam, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Big Data, Apache Hadoop, Python (Programming Language), Signal Processing, Feature Engineering, Apache Spark, Pyspark, Apache Flink, Production Code, Apache Kafka, Docker
- **Published:** September 10, 2026
- **Apply:** https://startup.jobs/machine-learning-scientist-regulatory-reporting-technology-adyen-9989155

## About the Role

* 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).
 * 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.
 * 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.

## Description

* 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.


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