Internship Data Scientist - Data Pipeline Development

Descrizione del lavoro:

Syngenta is one of the global leaders in the agribusiness, with more than 28,000 employees in over 90 countries,
committed to sustainable agriculture through innovative research and technology. By combining global expertise with
close connections to our customers, we contribute to increasing crop productivity, protecting the environment, and
improving health and quality of life. For more information, visit www.syngenta.nl.

* Type: Internship Data Scientist - Data Pipeline Development
* Department: Research & Development
* Location: Enkhuizen
In Action:
We are seeking a highly skilled and motivated Master Student in Data Science to join our team. The ideal candidate will develop a robust data pipeline that consolidates various data sources for efficient querying and analysis. This role combines data engineering, data analysis, and software development skills.
The Challenge
Design and implement scalable data pipelines to consolidate data from multiple sources while ensuring integrity, reliability, and timely availability. Develop processes for data modeling, mining, and production, identifying opportunities to optimize data flow and collection.
Collaborate closely with data analysts, applied teams, and stakeholders to understand their data requirements. Implement systems for tracking data quality and consistency, optimize data retrieval, and enable scalable, automated decision-making.

Ready to grow with us?
Join our team and help shape the future of agriculture! Do you recognize yourself in this profile? Don't wait, apply now! You can apply online via our intranet or our career page at www.syngenta.com.
For questions, please contact our recruiter Lars Conijn at lars.conijn@syngenta.com or call/WhatsApp +31 6 28894484

Requisiti del candidato:

Your Profile

Master student in Computer Science, Statistics, Applied Mathematics, or related field.
Qualifications:
* Strong programming skills in Python, R, SQL, and experience with scripting languages.
* Familiarity with SNOWFLAKE, AWS cloud and AWS services
* Proficiency in relational SQL and NoSQL databases
* 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