Data Scientist | KYC @ING Hubs Romania
Core
Develop and validate machine-learning-based solutions for fraud detection and risk summarization to support ING's digital transformation.
Role type
Data Scientist (Machine Learning)
Builds
Production-ready ML models for fraud and risk analytics
Domain
Banking / Financial Services / Risk & Compliance
Deliverable
production ML models
Required skills
Supervised and unsupervised machine learning, Python, Apache Spark, SQL, Git, model validation, model governance
Preferred skills
End-to-end ML project experience, object-oriented programming, production code quality
Technologies
Python, Apache Spark, SQL, Git
Responsibilities
Develop machine learning solutions, prepare fraud models for production deployment, evaluate model performance, document model pipelines
Seniority
Junior to Mid-level, hands-on IC
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