• Summer internship role will work with a collaborative project team looking at historical data, in-field data collection, satellite imagery, and data analysis
• As an intern at Syngenta, you will work alongside some of the brightest minds in the industry, and work on real projects finding real solutions
• Meaningful projects that solve novel and interesting scientific problems
• Work on collaborative project team with applied data science team, soybean product placement scientist, and market segment trialing manager to validate early season soybean data collected by available remote sensing technologies
• Help determine and recommend what imagery resolution is best for identifying early to mid-season soybean stands
• Utilize 2025 historical satellite and drone data collection information to determine most effective image resolutions to validate early season soybean stand assessment at small plot R&D testing locations
• Effectively work with real time 2026 post soybean emergence imagery, validate the digital findings in assigned plot fields, conduct drone flights at assigned field locations, process imagery data, and analyze appropriate data
• Present project findings during mid-season to the market segment team
• A variety of additional data structure skills may be learned and deployed

The intern will operate in accordance with Syngenta Health, Safety, & Environmental (HSE) standards

• Must be a current student continuing education upon completion of the internship term (May 2026 through August 2026)
• Ability to work independently with proper direction, as well as effectively communicating and collaborating with project team and stakeholders
• Proactive approach to assigned objectives/goals
• Drone Certification: Commercial drone pilot licensing and ability to follow company-specific flight protocols

A valid driver’s license with an acceptable moving violations record

• Pursuing a college degree in Data Science, Computer Science, Precision Agriculture, Genetics, Agronomy, Statistics, Animal or Plant Science, Plant Breeding or related fields

Knowledge of image collection, image QC, data processing, visualization, and data analysis methods

• Ongoing career development resources & mentorship from scientific experts
• A culture that celebrates diversity & inclusion, 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