Data Scientist Intern

About Syngenta

At Syngenta Vegetables and Flowers, we're cultivating tomorrow's variety through innovative breeding that brings vibrant colors to gardens and nutritious vegetables to tables worldwide. We combine centuries of seed heritage with cutting-edge innovation to develop resilient, high-performing varieties that thrive in varied climates. Join us in shaping the future of sustainable horticulture, where every seed holds the potential to enhance lives through better nutrition and natural beauty.

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. We invite you to help shape the future of agriculture and play a role in safely feeding the world while caring for our planet.

Syngenta's Vegetables R&D team is seeking a Data Scientist Intern in Raleigh, NC. This summer intern will work on cutting-edge projects developing ML models for data-driven recommendations to support product advancement and placement decisions.

As part of Syngenta's Emerging Talent Program, you will gain hands-on experience, exposure to day-to-day business operations, and opportunities to apply your academic knowledge to real-world challenges while developing your professional skills.

Estimated Duration: May 2027– August 2027

Accountabilities

• 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 varied data types.
• Develop and validate different ML models for placement predictions.
• Document research findings, model limitations, and strategic recommendations for future development.

Required

• PhD candidate in data science, quantitative genetics, computer science or related field.
• Demonstrated experience in AI/ML model development and evaluation.
• Proven ability to handle large, complex datasets efficiently.
• Strong programming skills in Python (preferred) and other relevant languages.
• Hands-on experience with R&D data, such as genetic data, phenotypic trial data, or environmental data, etc.

Desired

• 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.
• Salary for this position ranges between $20 - $45 hourly.

What We Offer

A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members.

⁠Competitive wages.

Ongoing career development resources.

The opportunity to work on meaningful, innovative projects that solve problems.

Syngenta is committed to creating a culture that celebrates belonging and collaboration, promotes professional development, and strives for a work-life balance that supports the team members

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, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

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