End of studies internship : Data Scientist – Mapping Machine Learning algorithms and their applications - Beijaflore Group

Founded in 2000, Beijaflore is an operational consulting firm specialising in digital strategy with an international presence and offices in Paris, Brussels, Rio de Janeiro, Sao Paulo and New York. The Group has brought together over 1,250 employees around a single mission: supporting companies in implementing their digital strategy.
With its Graphene Advisory entity, Beijaflore assists companies in the valuation of their data through Artificial Intelligence projects. By offering complete solutions, from the identification of use cases to the development of the solution and its deployment, Graphène Advisory brings companies to create their business of tomorrow. These solutions are based on Machine Learning and AI based on flexible, modular and scalable architectures called Big Data architectures.

Would you like to join a multidisciplinary and complementary team that supports its clients in the realization of projects around AI and Machine Learning?

Within the R & D team, you will be in charge of defining and tagging Machine Learning algorithms and identifying their potential applications in different industries.

You will be more specifically responsible for:

• Study the bibliography of Machine Learning’s algorithms, in order to understand the technical aspects
• Use / test algorithms and identify potential business applications
• Structure a Matrix Algorithms Vs Applications

In order to carry out your missions, you have the following skills:

• Initiation to Machine Learning and Descriptive Statistics
• Initiation to R / Python or Scala languages (or other programming language)

Student from a major engineering school, you follow a Master or a specialization in Data Science. You are autonomous, persevering and rigorous. You also enjoy teamwork. The quality of our internships has been rewarded by obtaining the Happy Trainees / Choose My Company label. Because we are committed to developing the potential of each student, we train you throughout your internship period in a hiring perspective.

Join us!