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You will be updated with latest job alerts via emailSince 2014 Wiremind has positioned itself as a technical company transforming the world of transport and events with a 360 approach combining UX software and AI.
Our expertise lies primarily in optimizing and marketing our clients capacity. We work on various projects such as ticket forecasting and pricing 3D optimization of air freight or scraping competitor prices. Our applications are the preferred tool of companies such as SNCF United Airlines Qatar Airways or even PSG to visualize analyze and optimize their capacity.
Dynamic and ambitious we strive to maintain our technical DNA which is the engine of our success. The company profitable and selffinanced since its creation 10 years ago is mainly composed of engineers and experts and currently supports the growth of our business model based on softwareasaservice solutions.
At Wiremind the Data Science team is responsible for the development monitoring and evolution of all MLpowered forecasting and optimization algorithms in use in our Revenue Management systems. Our algorithms are divided in 2 parts:
The team is scaling and needs to stay agile while supporting and monitoring deployed algorithms. We use Argo and MLFlow to help data scientists focus on highvalue tasks with a common framework and modular components. As we grow we manage more data sources and predictive models. To maintain high prediction accuracy and data quality we seek an analyticallyminded Data Scientist Intern with a strong background in statistics.
You will be joining a team shaped to have all profiles necessary to constitute an autonomous department (devops software and data engineering data science AIML operational research).
There you will leverage stateoftheart AI/ML methods and ironclad validation processes to deliver robust interpretable prediction systems.
As a ML Engineer intern you will work on the following topics:
Our technical stack
By joining us you will integrate:
You will also benefit from:
Wiremind is committed to equality of opportunity diversity and fairness. We encourage all candidates with the necessary experience to apply for our job offers.
Full Time