Wir sind das führende Chemieunternehmen der Welt, weil wir intelligente Lösungen bieten - für unsere Kunden und für eine nachhaltige Zukunft. Dazu vernetzen und fördern wir Menschen mit den unterschiedlichsten Talenten - weltweit. Das eröffnet Ihnen vielfältige Entwicklungschancen. Bei uns zählt Ihre Leistung ebenso wie Ihre Persönlichkeit. So werden aus Chancen Karrieren. Bei BASF. Lacke der BASF Coatings geben Oberflächen Schutz, Farbe und Glanz. Bei Autolacken, Reparaturlacken und Beschichtungen für industrielle Anwendungen sind wir der Global Player der Industrie. Der Erfolg unserer Teams beruht auf innovativen Lösungen, enger Partnerschaft mit unseren Kunden und globaler Präsenz.
Internship Data Science - Tech (m/f/d)Working area: IT / Information ManagementLocation: BASF Digital Farming GmbH, KölnWorking hours: Full-timeContract type: InternshipReferenzcode: EN57350262_JS_9At BASF, the chemistry is right. Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us – in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.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.comDo you have any questions about the application process or the position?Mrs. Karina Urich (Talent Acquisition) Phone no.: +49 (0)30 2005 58528Agriculture 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. RESPONSIBILITIES: 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. QUALIFICATIONS: 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 BENEFITS: 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. Together we can accomplish everything. Through the power of connected minds.We are looking forward to your online application at www.basf.com/jobs.We are happy to answer your questions:Tel.: 00800 33 0000 33Email:firstname.lastname@example.orgApply online