Intern - Data Science

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Join Our Team at Yara International: Intern - Data Science Position Available!

We at Yara International are part of a global network, collaborating to profitably and responsibly solve some of the world's key challenges including resource scarcity, food insecurity, and environmental change. As leaders in cultivating a nature-positive food future, we facilitate the growth of sustainable agriculture through innovative solutions and digital tools aimed at addressing global agricultural issues. With an expansive presence across approximately 150 countries and a dedicated workforce of around 17,000 employees, Yara is at the forefront of transforming food production in Europe towards sustainability and efficiency.

About the Internship Opportunity

Yara Farming Solutions in Europe is seeking a dynamic and motivated Data Science Intern to join our team for a 6-month compulsory internship. This exciting role is tailored for students currently pursuing degrees in Computer Science, Data Analytics, or related fields, who are keen on fulfilling their mandatory internship requirement while actively contributing to critical projects within our organization.

Internship Responsibilities:

  • Research and implement advanced machine learning techniques for anomaly detection, including one-class Support Vector Machines (SVM), Isolation Forest, and auto-encoders.
  • Work collaboratively with our data science team to refine and integrate machine learning models into our proprietary anomaly detection suite.
  • Analyze time-series data from mechanical production assets to spot anomalies, contributing to predictive maintenance solutions.
  • Optimize machine learning models for effective real-world applications in production environments.
  • Document findings and convey progress reports to the team and key stakeholders emphatically.

Candidate Profile:

  • Current enrollment in a Bachelor’s (at least 4th Semester) or Master’s program in Computer Science, Data Analytics, or similar disciplines.
  • Experience in machine learning techniques specific to anomaly detection such as one-class SVM, Isolation Forest, and auto-encoders.
  • Advanced programming skills in Python, including familiarity with frameworks like scikit-learn, TensorFlow, and PyTorch.
  • Proficiency in managing and analyzing time-series data, coupled with excellent problem-solving capabilities.
  • Strong team collaboration skills and a knack for effectively communicating technical details to non-technical audiences.

Application Details

Please note that this is a 6-month mandatory internship. Indicate your preferred period in the application alongside a certificate of enrolment. For further information, contact Katharina Berse, HR Advisor, at Yara International.

Our Commitment to Diversity

At Yara, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Yara is proud to be an equal opportunity workplace and is an affirmative action employer, committed to fostering an inclusive environment through our global Diversity, Equity & Inclusion (DE&I) strategy, supported by over 400 D&I ambassadors worldwide.

Ready to Apply?

If you are eager to contribute to a sustainable future and meet the criteria outlined above, we would love to hear from you. Apply today to become a part of Yara’s mission to develop a nature-positive global food system.