Entrepreneurship in the territories: is it the right time?
La Raison d’être d’AXA Climate est d’aider la planète Terre à devenir une véritable partie prenante de toutes les entreprises.
La Mission d’AXA Climate, c’est l’adaptation climatique et environnementale. Au service de cette mission, 4 différents métiers !
- La formation - via des contenus digitaux, scientifiques pour mettre en mouvement tous les collaborateurs, leur donner les compétences et les outils.
- Le conseil - pour impacter en local, via des actions d’adaptation concrètes.
- L’assurance et le financement - pour sécuriser celles et ceux qui s’adaptent, et impactent.
Mission
Under the supervision of the Lead Data Scientist, your role will be to transform complex business problems related to climate and environment impact into data-oriented solutions. You will be working with the different feature teams, composed of subject matter experts, (physical) scientists, data scientists and data engineers.
As a geospatial datascientist, you will get a wide range of responsibilities and tasks from the choice of the right data, data collection, data cleaning, data analysis, data modeling, algorithm optimization and eventually setting them into production through production-ready compute units.
Here are few examples of projects : computation of indicators with big data (8Tb+) ; processing of satellite imageries ; machine learning / deep learning for flood mapping, crop classification, wildfire propagation ; automation of geocoding.
Our main clients are financial funds, investors, big or mid-cap corporates, governments or PPP, cooperatives, industrials, large farming exploitations dealing with all kinds of crops.
Main roles and responsibilities
Under the supervision of the subject matter experts and the lead data scientist, you will contribute as a Geospatial Datascientist to deliver high-quality solutions with the two main responsibilities:
- Identification & acquisition of relevant data and relevant providers.
- Acquisition, cleaning, and statistical analysis of data.
- Translation of business problems into code, developing the best model / algorithm as regarding the needs, and producing the right outputs
