BASF Internship Digital Farming Data Science (m/f/d) in Köln, Germany
Job Field : IT / Information Management
Location : Köln,DEU
Company : BASF Digital Farming GmbH
Job ID : EN57350234DIGI48
BASF Digital Farming GmbH stands for a modern agricultural sector. We are making agriculture smarter and simpler. Our digital solutions allow for fields to be constantly analysed at the field-zone level so that farmers learn more about their crops every day and crop production can be taken to the next level. Our work is equally as innovative as our products: we have a global network and work with agile methodologies in a start-up atmosphere. Join our team!
Learn more about BASF Digital Farming GmbH at https://www.xarvio.com
Do you have any questions about the application process or the position?
Mrs. Karina Urich (Talent Acquisition) Phone no.: +49 (0)30 2005 58528
Agriculture is all about balance. The balance that is crucial to everyone's existence - also applies to our Agricultural Solutions division. We connect innovative thinking with practical action to find the right balance for success - for farmers, agriculture and future generations. With seeds and traits, crop protection and digital solutions, we help farmers produce food more efficiently, protect the land and meet the needs of society.
What you can expect
During your internship with a duration of 6 months, you become acquainted with several tasks within our Digital Farming team, giving you the chance to apply your theoretical knowledge in the daily business.
You will get the opportunity to work with our Data Scientists on one or more different projects within our product pipeline.
Topics include working with and creating data and algorithms in image science, but also agronomic and geospatial models.
You will be implementing and evaluating state-of-the-art algorithms grounded in current research literature.
Moreover, you will collaborate closely with internal agronomists, product managers and other data scientists.
What we expect
Enrolled in Computer Science, Data Science, Mathematics, Statistics or a similar technical field and have an outstanding academic performance record
First experiences with Data Science
Solid programming skills in Python, R or similar
Experience with geospatial data and tools, Computer Vision / Deep Learning or statistical methods
Fluent in both written and spoken English
Responsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team.
Support of all employees by using different measures to ensure the balance of professional and private life.
Competitive compensation including attractive benefits as well as excellent career opportunities in an international Company.