
Agricultural Systems Data Scientist Intern
- USA
- Training
- Full-time
- Competitive wages
- Ongoing career development resources & mentorship from scientific experts
- Meaningful projects that solve novel and interesting scientific problems
- Projects pursued during the internship can be flexible to highlight the experience and expertise of the applicant
- Collaborate closely with a multi-disciplinary team of soil scientists, cropping system modelers & data scientists in analytical activities required for building a science-based soil health team.
- Gather and transform and structure large datasets for statistical analysis
- Integrate multiple data types (agronomic data, spatial data, temporal data etc.) to deliver predictive and prescriptive insights.
- Expand existing analytical methodologies and identify novel solutions that balance theory and the practicalities of working at industrial scale.
- Engage with stakeholders to communicate key results.
- The intern will operate in accordance with Syngenta Health, Safety, & Environmental (HSE) standards.
- Student must be currently pursuing a M.S. or Ph.D. in Data Science, Computer Science, Agronomy, Statistics, or related field.
- Must be a current student continuing education upon completion of the internship term (Graduation date on or after December 2026).
- All applicants must be eligible to work in the US.
- Demonstrated proficiency in one or more modern programming languages (R, Python, etc.).
- Scientific curiosity and passion for creative problem solving.
- Ability to communicate complex ideas and results in a clear and actionable manner.
- Exceptional interpersonal skills, comfortable working independently and as part of a team.
- Proactive approach to assigned objectives and goals.
- Prior data cleaning and management experience is strongly desired.
Learn more about our and our mission here: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.#LI-DNI#LI-KR2