Data Science Intern
Posted Updated
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
