Alt2026 _ Apprenti Science Des Données - Application Genai Pour Le Suivi De L’environnement (h/f)

AIRBUS DS GEO SA

Toulouse, France
Python (pandas, numpy)
Geospatial data manipulation
Time series analysis
You will develop a system for analyzing and explaining a spatio-temporal environmental index based on multi-source data, focusing on the Grass Growth Index (IPP)

Job Summary

  • You will develop a system for analyzing and explaining a spatio-temporal environmental index based on multi-source data, focusing on the Grass Growth Index (IPP).
  • This apprenticeship involves developing and evaluating feasibility demonstrations, with an exploratory dimension around using language models for structured explanations from quantitative data.
  • The team is composed of 11 people within the 'Solution Data Scientists' team, responsible for developing solutions based on satellite imagery for environmental and agricultural monitoring.

Matching Summary

You will develop a system for analyzing and explaining a spatio-temporal environmental index based on multi-source data, focusing on the Grass Growth Index (IPP).

Skills & Requirements

Must-have

  • Python (pandas, numpy)
  • Geospatial data manipulation
  • Time series analysis
  • Statistical analysis
  • Generative AI interest

Nice-to-have

  • Rigorous and curious
  • Structured complex reasoning
  • Team player
  • Good communication skills

Key Requirements

  • BAC +5 level education
  • 1-2 year apprenticeship duration
  • Eligibility for security clearance

Work Rights

Not specified

Tailored Resume

Cover Letter