Data Science Trainee in Digital Transformation

hace 14 horas

Madrid, Madrid, España BASF Digital Solutions S.L. A tiempo completo
Unlock Your Potential with BASF Digital Solutions S.L.

Are you ready to embark on a challenging and rewarding career in data science and machine learning? We are seeking a highly motivated and talented individual to join our team as a Data Science Trainee in Site Logistics.

About the Role

As a Data Science Trainee, you will be responsible for identifying business needs and developing effective AI solutions to drive digital transformation in our Site Logistics Management and Operations team. You will work closely with our experienced mentors and coaches to learn the latest trends and advancements in AI and machine learning.

Key Responsibilities
  • Develop and deploy AI-driven applications and predictive analysis to improve logistics operations
  • Collaborate with cross-functional teams to identify business needs and develop solutions
  • Conduct research and stay up-to-date with the latest advancements in AI and machine learning
  • Document processes and results to contribute to upscaling and managing services globally
Requirements

We are looking for a candidate with a strong foundation in programming languages such as Python, and experience with machine learning frameworks and libraries. Familiarity with cloud-based solutions and MLOps is a plus. If you have a passion for learning and a growth mindset, we encourage you to apply.

What We Offer
  • A comprehensive 18-month program with on-the-job training and mentorship
  • Four rotations in different teams to gain exposure to various aspects of digitalization
  • An all-expense paid international stint in Germany to enhance your network and intercultural skills
  • A collaborative and innovative work environment with a global team
Join Our Team

BASF Digital Solutions S.L. is a leading company in the chemical industry, and we are committed to creating a sustainable future through chemistry. We value diversity and equal opportunities, and we are an inclusive employer. If you are passionate about data science and machine learning, and you want to make a meaningful contribution to our team, we encourage you to apply.

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