BASF Internship Data Science - Tech (m/f/d) in Köln, Germany
Job Field : IT / Information Management
Location : Köln,DEU
Company : BASF Digital Farming GmbH
Job ID : EN57350262DIGI47
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
You will work with data of different shapes coming from diverse sources like agricultural field trials, weather stations or smartphones.
Furthermore, you will be responsible for statistical analysis of carefully prepared data sets.
You will build data-driven models to answer a wide range of questions related to demand forecasting, capacity planning or product efficiency.
You are responsible for building prototypes to identify new product ideas and improve internal workflows.
Moreover, you will communicate your results to non-technical and technical stakeholders.
What we expect
Enrolled in Mathematics, Computer Science, Engineering or comparable
First practical experience in analyzing complex datasets
Good programming skills in languages like Python, R or Java
Hands-on experience in building models from data using statistical, data mining or machine learning approaches
Able to work with data from various sources like csv files, relational databases, or web pages
Knowledge and skills in visualizing data and analysis results to communicate results to stakeholders
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.