We are looking for a Data Scientist to work on a project for one of the biggest banks in the Netherlands. The goal is to normalize raw logging to a normalized schema. They want to fully automate this process such that future changes in the format can be detected and the normalization can be adjusted to accomodate those changes. They are currently using Azure monitor pipeline, KQL and Regex Concepts.

Ideal Profile

• Background as a Data Scientist or Data/ML Engineer
• Understanding of logging in diverse formats and schema's
• Machine Learning algorithms (such as Scikit-learn, Tensorflow, Keras, PyTorch),
• Python and SQL
• Experience with databases (Azure Monitor/Splunk) and containerizing (Docker, Kubernetes)

If this is interesting for you apply below!

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