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Data Science Trainee in Site Logistics

hace 1 mes

Madrid, Madrid, España BASF A tiempo completo
Join Our Digital Transformation Journey

BASF is a leading chemical company that is committed to creating a sustainable future through chemistry. Our products are used in various aspects of everyday life, from the soles of your shoes to the paint in your car.

We are seeking a talented Data Science Trainee to join our Site Logistics Management and Operations team. As a member of this team, you will be responsible for helping us deliver AI-driven solutions to our customers. You will work closely with our team to identify the needs and requirements of our customers and help us develop effective solutions.

As a Data Science Trainee, you will have the opportunity to learn and grow with our company. You will be part of a comprehensive 18-month program that includes a 6-month internship period and a 12-month training contract. You will also have the chance to participate in an all-expense paid international stint in Germany, which will further enhance your network and intercultural skills.

Our ideal candidate is a motivated and talented individual who is passionate about data science and AI. You should have a strong background in programming and experience with machine learning frameworks and libraries. You should also be proficient in English and have excellent written and verbal communication skills.

We offer a collaborative and innovative work environment, as well as opportunities for learning and development. Our team is committed to creating a sustainable future through chemistry, and we are looking for individuals who share our vision.

Key Responsibilities:

  • Help identify the needs and requirements of our customers
  • Develop effective AI-driven solutions
  • Work closely with our team to deliver solutions
  • Participate in an all-expense paid international stint in Germany

Requirements:

  • Bachelor's degree in a STEM field (Science, Technology, Engineering, or Mathematics)
  • Strong background in programming
  • Experience with machine learning frameworks and libraries
  • Proficient in English
  • Excellent written and verbal communication skills