Internship Data Scientist - Data Pipeline Development

As a result of a new opening in the team, we seek a motivated and enthusiastic student based in the Netherlands for a 4-6 months internship.

Internship: Data Scientist – Data Pipeline Development

Into Action

We are seeking a highly skilled and motivated Master Student in Data Scientist to join our team. The ideal candidate will be responsible for developing a robust data pipeline that consolidates various data sources for efficient querying and analysis. This role involves a mix of data engineering, data analysis, and software development skills.

The Challenge

You will design and implement scalable data pipelines to consolidate data from multiple sources and
ensure the integrity, reliability, and timely availability of data. Furthermore, you will develop processes for data modeling, mining, and production and identify opportunities to optimize data flow and collection.
You will work closely with data analysts team, applied teams and other stakeholders to understand their data requirements. You will Implement systems for tracking data quality and consistency.
You will optimize data retrieval and develop dashboards and reports for end users.

Syngenta is a leading developer and producer of seeds. We bring farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

Your Profile

• You're currently studying a Master’s in the direction of Computer Science, Statistics, Applied Mathematics, or related field. 
• You're living in The Netherlands. 
• Strong programming skills in Python, R, SQL, and experience with scripting languages.
• Familiarity with AWS cloud and AWS services 
• Proficiency in relational SQL and NoSQL databases
• Experience with data visualization tools: Tableau, D3.js, GGplot, etc.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent communication and teamwork skills.

Your Chance!

Are you ready to grow your career with us? 

If you recognize yourself in this profile and would like to apply for this position, please apply on-line via www.syngenta.com. If you would like to have more information about this vacancy please contact our recruiter Silvana van den Elzen via Silvana.van_den_elzen@syngenta.com or +31 6 82426074.