Internship Data Scientist - Data Pipeline Development

Syngenta

Syngenta is a prominent seed producer, dedicated to delivering resilient and innovative plant varieties. With a global workforce of 28,000, the company addresses the challenge of increasing food production sustainably. They are looking for an enthusiastic student in the Netherlands for a data science internship.

In this role you can expect to have the responsibilities:

• Design and implement scalable data pipelines integrating multiple data sources.
• Ensure data integrity, reliability, and availability.
• Develop processes for data modeling, mining, and production.
• Identify opportunities to improve data flow and collection.
• Collaborate with data analysts and stakeholders to meet data requirements.
• Implement systems to monitor data quality and consistency.
• Optimize data retrieval and create dashboards and reports for end users.

This role comes with the following benefits:

• Opportunity to work with a leading agricultural company.
• Hands-on experience in data pipeline development.

This role requires you to have:

• Currently pursuing a Master's in Computer Science, Statistics, Applied Mathematics, or related fields.
• Proficiency in Python, R, SQL, and scripting languages.
• Familiarity with AWS cloud and services.
• Proficiency with relational and NoSQL databases.
• Experience with data visualization tools like Tableau and D3.js.

You would benefit from having:

• Familiarity with machine learning frameworks such as Keras or PyTorch, and libraries like scikit-learn.
• Strong analytical skills for information collection and analysis.
• Excellent communication and teamwork abilities.

The company values a diverse workforce and inclusive work environment as part of its mission to tackle major challenges in agriculture.