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Amsterdam
1 day ago
Machine Learning Scientist - Regulatory Reporting Technology logo

Machine Learning Scientist - Regulatory Reporting Technology

Adyen

Amsterdam
1 day ago
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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.

AI-enabledHybridFull-timeMid LevelPythonPySpark

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.

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AI-enabledHybridFull-timeMid LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: office-first, based out of Amsterdam office; no remote-only roles

Experience Required

4 years

Employment Type

Full-time

Experience Level

4+ years as Machine Learning Engineer or Data Scientist

Core Qualifications

Technical (Must-have)
PythonPySparkApache AirflowApache HadoopApache KafkaMachine LearningAnomaly DetectionTime-Series AnalysisSignal ProcessingCausal InferenceFeature EngineeringBig DataDockerKubernetesSparkStreaming
Soft Skills
CommunicationProblem SolvingLeadershipStakeholder ManagementPragmatismCollaboration

Preferred Qualifications

Technical (Nice-to-have)
Apache FlinkDockerKubernetes

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.
Machine LearningRegulatory ReportingFinancial ServicesBig DataPythonAmsterdamFull-timeHybrid
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