Parttime Role – Data Science Groenlo • Nedap

Are you experienced in Python and energized by translating behavioral data into valuable insights for end users? At Nedap Livestock, we’re looking for an analytical and curious colleague to join our Farm Insights team. You’ll work in a multidisciplinary team that leverages animal behavior data to make a real impact in the agricultural sector.

In this role, you’ll support the team with various data science projects. This includes contributing ideas and providing technical support to teammates in their day-to-day tasks. You’ll also have space for your own projects, such as analyzing large datasets, building data models, or exploring new techniques. There are no strict deadlines, giving you the time to dive deep into topics within your available hours.

“With data science, we create insights into animal behavior that help farmers make better decisions – for their animals and their business.” – Ardjan Zwartjes (Lead Data Scientist at Nedap Livestock)

You’ll support and contribute to a range of projects within the team. Your tasks may include:

• Analyzing: animal behavior data from Nedap’s cloud environment;
• Building: predictive models that support farmers in their daily decision-making;
• Ideating: new data-driven functionalities for end users;
• Collaborating: with colleagues across disciplines (data, UX, software, product);
• Documenting: and visualizing your findings in a clear and structured way.

You’re naturally curious and possess strong analytical thinking. You enjoy diving deep into a topic and asking critical questions to get to the core. You work independently but proactively seek collaboration within the team. You’re not afraid to take responsibility for your work and enjoy contributing ideas for improvements or new approaches.

You also recognize yourself in the following:

• Education: You are currently pursuing a bachelor’s or master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field;
• Experience: You have experience with programming in Python and setting up Python environments, and you can perform data analysis independently;
• Affinity: You have an interest in or experience with working with large datasets, machine learning, and/or cloud environments is a plus;
• Language: You have a good command of Dutch or English, both spoken and written.

You are available 8 hours per week, working one fixed day on our campus in Groenlo.

Does this sound like an exciting challenge for you? Apply now via the button! If you have any questions, feel free to contact Vera Zwerink (via de button "Solliciteer nu" op deze pagina.).