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Overview
Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs.
Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Syngenta Seeds is headquartered in the United States.
What you will do We invite you to help us shape the future of agriculture. At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. The Vegetables R&D team is currently seeking a Data Scientist in Durham, NC. This summer will work on cutting-edge projects developing ML models for data-driven recommendations to support product advancement and placement decisions.
At Syngenta, you have the opportunity to work alongside some of the brightest minds in the industry, and work on real projects finding real solutions. Work with us and you’ll get:
Competitive wages
Ongoing career development resources
The opportunity to work on meaningful, innovative projects that solve problems
A culture that celebrates, promotes professional development, and offers flexible work options to meet both your work and personal needs
Estimated Duration:
May 2026– August 2026
Responsibilities
Collaborate with data scientists on the product advancement and placement analytics team for research initiatives
Gather, transform, and process large structured and unstructured datasets for model training
Develop methodologies to integrate and analyze diverse data types
Design and validate AI algorithms for product decision recommendations
Research and apply explainable AI techniques to ensure transparent reasoning behind recommendations
Document research findings, model limitations, and strategic recommendations for future development
Qualifications What you must have:
Masters or PhD candidate in data science, computer science, quantitative genetics, or related field
Must be a current student continuing education upon completion of term (Graduation date of December 2026 or AFTER)
Demonstrated experience in AI/ML model development and evaluation
Proven ability to handle large, complex datasets efficiently
Strong programming skills in Python and other relevant tools
Experience with cloud computing
What you might also contribute to the team:
Good written and oral communication skills with a proactive, collaborative approach
Proven ability to work effectively in cross-functional teams
Strong analytical curiosity with ability to investigate complex problems and deliver innovative solutions
What We Offer
A culture that celebrates, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
Syngenta has been ranked as a
top employer
by Science Journal.
Learn more about our team and our mission here:
https://www.youtube.com/watch?v=OVCN_51GbNI
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, ethnicity, gender, marital or veteran status, disability, or any other legally protected status.
#LI-DNI
#J-18808-Ljbffr
Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Syngenta Seeds is headquartered in the United States.
What you will do We invite you to help us shape the future of agriculture. At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. The Vegetables R&D team is currently seeking a Data Scientist in Durham, NC. This summer will work on cutting-edge projects developing ML models for data-driven recommendations to support product advancement and placement decisions.
At Syngenta, you have the opportunity to work alongside some of the brightest minds in the industry, and work on real projects finding real solutions. Work with us and you’ll get:
Competitive wages
Ongoing career development resources
The opportunity to work on meaningful, innovative projects that solve problems
A culture that celebrates, promotes professional development, and offers flexible work options to meet both your work and personal needs
Estimated Duration:
May 2026– August 2026
Responsibilities
Collaborate with data scientists on the product advancement and placement analytics team for research initiatives
Gather, transform, and process large structured and unstructured datasets for model training
Develop methodologies to integrate and analyze diverse data types
Design and validate AI algorithms for product decision recommendations
Research and apply explainable AI techniques to ensure transparent reasoning behind recommendations
Document research findings, model limitations, and strategic recommendations for future development
Qualifications What you must have:
Masters or PhD candidate in data science, computer science, quantitative genetics, or related field
Must be a current student continuing education upon completion of term (Graduation date of December 2026 or AFTER)
Demonstrated experience in AI/ML model development and evaluation
Proven ability to handle large, complex datasets efficiently
Strong programming skills in Python and other relevant tools
Experience with cloud computing
What you might also contribute to the team:
Good written and oral communication skills with a proactive, collaborative approach
Proven ability to work effectively in cross-functional teams
Strong analytical curiosity with ability to investigate complex problems and deliver innovative solutions
What We Offer
A culture that celebrates, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
Syngenta has been ranked as a
top employer
by Science Journal.
Learn more about our team and our mission here:
https://www.youtube.com/watch?v=OVCN_51GbNI
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, ethnicity, gender, marital or veteran status, disability, or any other legally protected status.
#LI-DNI
#J-18808-Ljbffr