Data Scientist Intern
Syngenta Group
- Pay
- $20 to $45
- an hour
- Location
- Raleigh, NC
- Work style
- On-site
- Job type
- Internship
- Posted
- Oct 29
- 1 day ago
Career path
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About the company
Syngenta Group
Farming · 10,001+ employees
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.
What you'll do
- 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.
What you need
- 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.
- Education: a postgraduate degree
Key skills
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Perks
- professional development
- work-life balance
- career development resources
- meaningful, innovative projects
See full description on company page, apply now