STAGE Junior Data Scientist H/F

Date de mise à jour de l’offre

QUANTCUBE TECHNOLOGY :

QUANTCUBE TECHNOLOGY, Société par action simplifiées au capital de 1 599€, a débuté son activité en juillet 2013. Thanh Long HUYNH est président de la société QUANTCUBE TECHNOLOGY. Le siège social de cette entreprise est actuellement situé 15 Boulevard Poissonniere - 75002 Paris 02 QUANTCUBE TECHNOLOGY évolue sur le secteur d'activité : Services d'information

Description de la mission

Title : The impact of extreme climate events on food crops yields predictions using deep neural networks.
Topic : Deep learning, Machine learning, satellite images, meteorological & oceanographic data, agriculture

General presentation of the topic :
Founded in 2013, QuantCube Technology is a leading start-up specialized in Artificial Intelligence applied to macroeconomics and financial predictions. It is composed of a team of 30+ people, including 15+ data scientists in different fields NLP, computer vision and graph analytics.
The company has created the next generation of financial and economic indicators - called Smart Data - by crossing and analysing multiple data sources such as social media, satellite or drone pictures, telecoms data, oceanographic and meteorological data, etc.
Its customers include international organizations, economics institutions, investment banks and asset managers.
From multi-lingual NLP for text analytics to Deep Learning for imagery analytics, QuantCube Technology is also involved in data science competitions and in academics research.

Objective of the internship
QuantCube Technology has set up a unique data warehouse hosting billions of heterogeneous and alternative data from various sources, which provide excellent opportunities for data mining and calibrating any AI models.
Therefore, the aim of the R&D team is to be at the forefront of the state-of-the art of algorithms associated with high-performing computing in the computer vision field.
Within the computer vision team, the objective of this internship is to add the impact of extreme climatographic events, such as El Nino, global warming, extreme rainfalls and extreme draughts to the algorithms making food crops yields predictions. The introduction of non-local spatial and temporal information could be added by modifying the structure of the deep neural networks used for food crops yields predictions or by ad-hoc modification of the oceanographic & meteorological features already included in the model.
During this internship the student will have to work on the state-of-the art algorithms for climatic extreme events'predictions, based on multiple data sources, and food crops yields predictions using satellite images as well (Deep Neural Networks). For this purpose, the student will adapt, develop and implement machine-learning algorithms to fill those objectives.

Profil recherché

Expected ability of the student:
- The student should be proficient in applied mathematics and computer-programming (Python knowledge).
- English and autonomy are required.
- Looking for passionate students, willing to perform well in a great start-up environment within the center of Paris.

Because of the few R&D projects involving public R&D labs on this topic, the internship could request interactions with researchers of this field from other institutions.

Applications
To apply, please send your resume to the following e-mail box: careers@q3-technology.com with the following e-mail subject: Junior Data Scientist Computer Vision.

Niveau de qualification requis

Bac + 4/5 et +
  • Employeur
    QUANTCUBE TECHNOLOGY
  • Secteur d’activité de la structure
    Emploi - Economie - Innovation - Numérique
  • Effectif de la structure
    De 51 à 250 salariés
  • Site internet de la structure
    https://www.quant-cube.com
  • Type de stage ou contrat
    Stage pour lycéens et étudiants en formation initiale
  • Date prévisionnelle de démarrage
  • Durée du stage ou contrat
    Plus de 4 mois et jusqu'à 6 mois
  • Le stage est-il rémunéré ?
    Oui
  • Niveau de qualification requis

    Bac + 4/5 et +
  • Lieu du stage
    15 boulevard Poissonnière
    75002 PARIS 2E ARRONDISSEMENT
  • Accès et transports
    Métro Ligne 8 - Grands Boulevards