As part of a dynamic, high-level team, you will work jointly on R&D and customer projects, focusing on data valuation, design and implementation of data science methods:

Your main responsibilities will include:

  • Extract, structure and explore raw data sets (potentially very large and from disparate sources), implement visualisation techniques to make sense of them, apply consolidation methods to give them a robust structure as a basis for modelling

  • Determine and build the learning environment (explanatory variables, test/validation procedure, performance criteria)

  • Implement and test a wide range of modelling solutions (from classical statistics to modern machine learning techniques), in order to exploit the best combination of them

  • Participate in the industrialisation of artificial intelligence models by improving the robustness of the algorithms, by taking part in the acceptance phase at the time of production and by implementing the performance monitoring elements of the models

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