Machine Learning Scientist I - Protect

Adyen
Amsterdam
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Curiosity","Experimental mindset","Passion for learning"]

Join the Protect team to build real-time fraud prevention models embedded in the core payment flow. You’ll assist with researching, training, and evaluating supervised/deep learning models, develop batch and streaming data pipelines for feature stores, and support model monitoring and experimentation. Collaborate with engineering, product, and analytics to translate business needs into risk tools, analyze payment datasets for fraud signals, and measure real-world impact.

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Adyen
Adyen
11 hours ago

Machine Learning Scientist I - Protect

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Last checked: 4 hours agoStatus: Live

Job Summary

Join the Protect team to build real-time fraud prevention models embedded in the core payment flow. You’ll assist with researching, training, and evaluating supervised/deep learning models, develop batch and streaming data pipelines for feature stores, and support model monitoring and experimentation. Collaborate with engineering, product, and analytics to translate business needs into risk tools, analyze payment datasets for fraud signals, and measure real-world impact.
Location: Amsterdam
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Research, train, and evaluate machine learning models for real-time risk assessment, anomaly detection, behavioral prediction, and fraud prevention.
  • •Help build and maintain batch and streaming data pipelines to feed online feature stores and analytical workflows.
  • •Support model lifecycle by contributing to automated experiments, validation runs, and real-time performance monitoring.
  • •Collaborate with engineering, product, and analytics to translate business requirements into actionable ML tasks and merchant-facing risk tools.
  • •Analyze large payment datasets to uncover fraud trends and participate in model experimentation (e.g., A/B testing) to measure accuracy and business impact.

Key Requirements

  • •Bachelor’s or Master’s in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field (or equivalent hands-on experience).
  • •Strong grounding in statistical inference, machine learning fundamentals, and predictive modeling (e.g., supervised learning, deep learning, XGBoost/LightGBM).
  • •Proficiency in Python and SQL, with desirable experience using Pandas, PyTorch, TensorFlow, Scikit-Learn.
  • •Desirable: familiarity with distributed computing frameworks such as PySpark.
  • •Strong interest in MLOps and clean code, with experience or familiarity with MLFlow, Airflow, and Git.
Experience:Fraud preventionReal-time risk assessmentPayments
Education:
Skills:CollaborationCuriosityExperimental mindsetPassion for learning
Languages:English
Tech Stack:PythonSQLPandasPyTorchTensorFlowScikit-LearnPySparkXGBoostLightGBMMLflowAirflowGit

Company Brief

Adyen
Global payments company providing a unified platform for accepting payments, risk management, and financial services to merchants and enterprises across online, mobile, and in-store channels.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Amsterdam, Netherlands
Founded: 2006
WebsiteLinkedIn