Data Scientist for Banking Fraud Detection

2 tygodni temu


Katowice, Silesia, Polska ING Pełny etat

We are seeking a talented Machine Learning Engineer to develop and implement fraud detection models within the banking sector.

Main Responsibilities:

  • Developing platform for fraud detection models
  • Implementing fraud detection models using Spark 3+
  • Scheduling and distributing code on data analytics platform
  • Collaborating with data scientists in squad
  • Maintenance and optimization of machine learning models

Requirements:

  • Proficiency in data and software engineering with a focus on distributed computing
  • Experience with Azure DevOps, Airflow, mlFlow, and containerization
  • Programming experience in Python with clean coding paradigms
  • Knowledge of statistical analysis, data mining, and predictive algorithms
  • Excellent problem-solving skills, attention to detail, and communication skills

Preferred Qualifications:

  • Hands-on experience with code and compute optimization and testing
  • Proven capability in handling large data sets for developing fraud detection models
  • Master's degree in computer science, statistics, or data science
  • Experience with other machine learning frameworks and libraries
  • Certifications in relevant fields

Working Environment:

The role will be part of a pioneering team that cooperates in designing, building, and implementing models in the realm of banking fraud detection. You will work with a wide range of technologies and have the flexibility to experiment with cutting-edge technologies and techniques in the field of machine learning.

The team operates within a Scrum framework, and the role will be named 'Engineer II' in the global ING job architecture.



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