Data analyst - Intern

  • Syngenta AG
  • Stein, Switzerland
  • 11/01/2019
Internship Data Science Data Engineering Data Analytics Data Management Statistics Software Engineering

Job Description

The world's population is expected to increase by more than a third by 2050 to reach 9.7 billion people. Over the same period, per capita income should increase significantly. These two projections point to a doubling of cereal demand between 2009 and 2050 (FAO, 2009). Over this same period, agricultural land is expected to remain stable due to the urban expansion and the significant investments needed to bring new arable land into production. Increasing the efficiency of the production systems appears to be the only option for achieving global production and food security objectives. Improving the genetic progress of crops is part of this process of securing global production. In the case of straw cereals, opportunities remain to be explored including a better integration of the information, such as the characterization of the environment, as well as new technologies, like the hybridization.Syngenta is an international company developing and producing agrochemicals and seeds. As one of the global leaders in agricultural research, the company employs 28,000 people in 90 countries, including 5,000 people in Research and Development. The company has already launched hybrid barley varieties and is about to bring hybrid wheat varieties to the European market. In this last phase of development, it is important to understand the adaptation of these new varieties to the different climatic conditions of the European market in order to target their preferred marketing areas.

Qualifiche

Internship proposal:

You will join the Environmental Analytics research team, which is in charge of analyzing and predicting crop performance based on growth conditions. You will work on a project aiming to identify the limiting factors impacting the straw cereal production in Europe.

Your different missions will be:

  1. Consolidating the data collected at the European level,
  2. Analyzing the impact of environmental stresses on the production of straw cereals,
  3. Contributing to the development of the variety selection and positioning tool through a better understanding of the interactions of the varieties with their environment.

Required profile:

  • Master of Science student in agriculture or agronomy with a specialization in data science.
  • Skills: data analysis and modeling (Matlab, R); English proficiency.
  • Qualities: rigor, capacity for synthesis, ability to work in teams and autonomy.

Additional information:

Period: six months internship to be completed in 2019.Based at: Syngenta Crop Protection AG - Schaffhauserstrasse - 4332 Stein - SwitzerlandContact: Thomas Galinier, thomas.galinier@syngenta.com, phone: (+41) 62 86 60 390  

Sede principale : CHE-Stein-Stein 

Lavoro: Biological Sciences Testing