Data Scientist
Paris, Ile-De-France, France
Scoring of client satisfaction • Lead the development of a model predicting the level of satisfaction: innovative approach based on RNN (recurrent neural networks) and custom machine learning model • Create a python/pyspark package to align the model developments (reproducible data science, modelling strategy, data set structure) between BP and CE networks- Tech stack: Hadoop plateform, Spark, MLflow, HiveQL, Spark UI, Grafana, Python (tensorflow, scikit-learn)Optimisation… Show more Scoring of client satisfaction • Lead the development of a model predicting the level of satisfaction: innovative approach based on RNN (recurrent neural networks) and custom machine learning model • Create a python/pyspark package to align the model developments (reproducible data science, modelling strategy, data set structure) between BP and CE networks- Tech stack: Hadoop plateform, Spark, MLflow, HiveQL, Spark UI, Grafana, Python (tensorflow, scikit-learn)Optimisation of Caisse d’Epargne branch network : simulation algorithm of existing network • Develop a simulation algorithm of the existing network: apply the gravity model of trade and machine/deep learning models to represent flows of clients between bank branches and territory subdivisions Participate in sharing best practices (coding, model selection, reproducible data science, ...) Show less