Data Science and Mobility Analyst Intern
il y a 5 jours
Floware is a young deeptech startup incubated by France's leading accelerators, such as École Polytechnique, HEC Incubator, Moove Lab, and Leonard (Vinci). Our mission is to empower strategic decision-making in the mobility sector, contributing significantly to the energy transition towards sustainable practices. We are recognized as a deeptech company by Bpifrance and embedded within a thriving ecosystem at Station F.
Our TechnologyOur technology is based on connected objects and on-board artificial intelligence for measuring, analyzing and optimizing mobility. As part of our activity analyzing the data produced by our connected sensors, we are looking for an intern who will have the following tasks:
- Analyze, filter, clean, interpret and model mobility data from different sources (multi-technology sensors).
- Compare and benchmark data processing and analysis methods and platforms.
- Apply statistical analysis, regression and machine learning methods with particular attention to optimizing processing time and the scalability of the solution.
- Contribute to the design of theoretical models used to interpret the data produced by the sensors.
- Process data from measurement campaigns and analysis for our customers: experimental on-premises approaches, deployment on the cloud, integration with our data visualization tools.
- Contribute to Data Science R&D activities.
We are looking for a Master 2-level student specializing in Data Analysis and/or Data Science. Essential technical skills include theory and practice of data analysis and data science, basic software development skills (Python, C++, etc.), and data visualization. Other required skills include fluency in English, good writing and presentation skills, and other skills required like PowerBI, interactive data visualization tools in web format, and fluency in French would be a plus.
BenefitsWe offer a competitive salary of up to €1200 per month, full reimbursement of the Navigo pass, reimbursement of sports fees and other perks, and extensive training opportunities. If you're passionate about data science and eager to participate in innovative projects within an impact-driven team, apply now to embark on a rewarding career path where your work truly makes a difference.
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