About The Position

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. To support that challenge, the North America Seeds Development team is looking for an intern to work with our phenomics, market segment team, and applied data science group to problem solve data collection methods by investigating from manual data collection to digital data alternatives. Summer internship role will work with a collaborative project team looking at historical data, in-field data collection, satellite imagery, and data analysis. Additionally, there will be time to explore the candidate’s unique skill set and career development interests. 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. Work with us and you’ll get ongoing career development resources & mentorship from scientific experts, meaningful projects that solve novel and interesting scientific problems.

Requirements

  • Pursuing a college degree in Data Science, Computer Science, Precision Agriculture, Genetics, Agronomy, Statistics, Animal or Plant Science, Plant Breeding or related fields
  • 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
  • Knowledge of image collection, image QC, data processing, visualization, and data analysis methods
  • Proactive approach to assigned objectives/goals
  • Prior experience or course work in data science, computer science, or statistics is preferred
  • Prior data management experience is strongly desired
  • 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

Responsibilities

  • 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
  • Operate in accordance with Syngenta Health, Safety, & Environmental (HSE) standards

Benefits

  • A culture that celebrates diversity & inclusion
  • Promotes professional development
  • Strives for a work-life balance that supports the team members
  • Offers flexible work options to support your work and personal needs
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