/#jobs
#Platform#About Us#AI Jobs
#AI Jobs# Get Started
Amsterdam
1 week ago
Machine Learning Scientist - Regulatory Reporting Technology logo

Machine Learning Scientist - Regulatory Reporting Technology

Adyen

Amsterdam
1 week ago
Apply

Machine Learning Scientist - Regulatory Reporting Technology

Adyen is looking for a Machine Learning Scientist to join the Regulatory Reporting Tech team in Amsterdam. The role involves building production-ready ML models for regulatory reporting and risk evaluation, working with big data tools like Spark and Hadoop. Candidates need 4+ years of experience in ML or data science, proficiency in Python and big data frameworks, and an engineering-first mindset.

AIOn-siteFull-timeMid LevelMachine LearningAnomaly Detection

Machine Learning Scientist - Regulatory Reporting Technology

Adyen is looking for a Machine Learning Scientist to join the Regulatory Reporting Tech team in Amsterdam. The role involves building production-ready ML models for regulatory reporting and risk evaluation, working with big data tools like Spark and Hadoop. Candidates need 4+ years of experience in ML or data science, proficiency in Python and big data frameworks, and an engineering-first mindset.

Apply
AIOn-siteFull-timeMid LevelMachine Learning

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Experience Required

4 years

Employment Type

Full-time

Experience Level

4+ years of experience as a Machine Learning Engineer or Data Scientist

Core Qualifications

Technical (Must-have)
Machine LearningAnomaly DetectionTime SeriesSignal ProcessingPythonApache SparkApache HadoopApache AirflowApache KafkaPySparkCausal Inference
Soft Skills
Engineering-First MindsetPragmatic Problem SolvingProactive LeadershipEffective CommunicationStakeholder Management

Preferred Qualifications

Technical (Nice-to-have)
Apache FlinkDockerKubernetesSparkStreaming

Key Responsibilities

  • •Build production-ready ML models to support regulatory reporting and risk requirements, owning the end-to-end lifecycle from feature engineering to deployment.
  • •Develop automated root-cause analysis translating complex statistical signals into actionable recommendations.
  • •Collaborate with a product-driven team, gathering continuous feedback to ensure solutions drive product adoption.
Machine LearningData ScienceFinancial ServicesRegulatory ReportingBig DataPythonSparkAnomaly DetectionAmsterdam
/#jobs

The AI-powered job search platform that connects talent with opportunity.

  • Data
  • FAQ
  • Articles
  • AI Jobs
  • Platform
  • About Us
  • Legal
© 2026/#jobsAll rights reserved.

For queries/support, email jobs.support@slashhash.ai