Python Job: Stagiaire Data Scientist H-F

Job added on

Share Job via Twitter Share Apply for Job

Job Skills

Company

Syngenta

Location

Saint-Sauveur - France

Job type

Full-Time

Python Job Details

Syngenta is a leading science-based agritech company dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.
For more information about Syngenta, please visit our website www.syngenta.com
We are currently looking for a:

Data Scientist intern for a 6 month-internship starting between March and May

You will be part of our international Computer Vision team working on global R&D activities, more precisely involved in many crop monitoring projects using multispectral satellite images. To characterize potentials and anomalies on a large scale, we use state-of-the-art machine learning and deep learning tools on spatio-temporal data while ensuring that we can deliver a final tool for our customers.

The position offered is a 6-month internship contract based in France / Saint-Sauveur (31).
Starting date : Between March and May 2023.

INTERN WILL LEARN AND BE EXPOSED TO:
  • Our global Advanced Analytics & Data Science (A&DS) team, agronomists, and technology experts.
  • Be involved in a community of best practices in Python code development
  • Study advanced methods in machine learning and deep learning, independently and/or with the support of one of our experts for the most difficult subjects
  • Work with remote sensing and large-scale geospatial data in a cloud-based environment for crop monitoring
MISSIONS:
  • Satellite Image Time Series (SITS) analysis for crop monitoring.
  • Work in collaboration on internal modules developed in python
  • Conduct experiments to compare the results of multiple machine learning strategies to obtain the best performance in an R&D environment.
PREFERRED QUALIFICATIONS:
  • Student in Bac+4/+5 (Master 1 or 2) or equivalent level in Statistics, Applied Mathematics, Computer Science, or related subjects.
  • Some examples of applications on real-word problems (personal or scholar projects) are a plus.
  • Research-oriented, detail oriented, autonomous, self-motivated, and curious.
  • Have experience developing machine learning projects in Python. Knowledge of libraries like numpy, scipy, scikit-learn and tensorflow/pythorch.
  • Knowledge of geospatial and time series data processing is a strong asset.
  • Demonstrated effective written and verbal communication skills (data storytelling), in both French and English.

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
#LI-PD1

Apply for Job
Back to Python Job List