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YEGO

Data Science Intern

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Description

  • As a Data Science Intern, you will help us better understand, predict and optimise YEGO’s mobility service through Data Science
  • Reporting to the Head of Data, you will work on concrete business problems such as mobility demand forecasting, fleet optimisation and the automated analysis of user feedback
  • You will contribute to the full Data Science lifecycle, from understanding the business problem and exploring the data to developing, evaluating and deploying solutions.
  • You will also help turn existing Proofs of Concept into reliable solutions integrated into YEGO’s data and operational workflows
  • Understand business problems and explore relevant datasets to identify patterns, opportunities and potential Data Science approaches
  • Develop, test and evaluate Data Science and Machine Learning solutions for concrete business problems
  • Take existing Data Science Proofs of Concept and help deploy them into production, from model refinement and validation to integration into YEGO’s data workflows
  • Improve models through feature engineering, experimentation and appropriate evaluation methodologies
  • Work on different Data Science use cases, which may include forecasting, optimisation, NLP, computer vision and geospatial analysis
  • Contribute to the deployment, integration and monitoring of models within YEGO’s data and operational workflows
  • Investigate new Data Science opportunities and prototype solutions to product and operational challenges
  • Document methodologies and communicate results clearly to technical and non-technical stakeholders
  • Paid 6-month internship, starting ASAP

Benefits

  • Unlimited rides with Yego
  • Private health insurance for you and your family
  • Gym membership
  • Flexible working hours & remote working
  • Continuous learning environment
  • Free fruits & coffee/tea at the offices
  • Special discounts
  • Good communication skills and the ability to explain technical findings and their business implications clearly
  • Strong knowledge of Python and common Data Science libraries such as pandas, NumPy and scikit-learn
  • Ability to work and communicate professionally in Spanish, French and English
  • Interest in taking Data Science projects beyond experimentation and into production
  • Curious and rigorous mindset with a willingness to experiment and challenge assumptions
  • Attention to detail and a strong sense of data quality
  • Good knowledge of SQL
  • Ability to work with large datasets and turn business problems into structured analytical approaches
  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, Statistics, Engineering or another quantitative field
  • Familiarity with Git and collaborative software development
  • Good understanding of statistics, Machine Learning fundamentals and model evaluation
  • Experience deploying Machine Learning models or building inference pipelines
  • Previous academic or personal projects involving mobility, transportation, logistics, marketplaces or spatial data
  • Familiarity with cloud environments, data warehouses or dbt
  • Ability to communicate professionally in Spanish and/or French

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