Data Engineering Intern

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Description

The role You will be in the Research Technology and Innovation Team and support prototype and software development with a priority on Data preparation and Machine Learning application related requirement. For AI applications, we focus on time series and event data from fare collection and supervisions system. The priority for this internship will be on building prototypes and industrialisation of prototypes. That encompass the creation of new programs, the validation of the results and documentation of the findings, the revision of code to be production ready, development of tests, and implementation in Docker containers. Key Responsibilities Be involved in prototyping, coding, configuration, and test, Contribute to System and Software documentation, Define test document, perform integration, verification, and validation tests, Deliver software release, Perform software quality control Requirements Degree with specialisation/option/competence in Data Analytics, Big Data, Machine Learning, applied mathematics, applied statistics Python and utilisation of existing package for data manipulation (Pandas, Numpy), regressions, time series predictions, clustering, optimization (scikit-learn, keras) Database principles, DDL and SQL Use Git, Docker (Dockerfile and docker compose) Linux commands (install, configuration) Able to work from MON to FRI during the internship period of MAR 2027 - SEP 2027 (6 months or more) Fluent in English Good to have Data analytics, Machine Learning, Sta

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