Agricultural Systems Data Scientist Intern

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 Global Soil Health team is looking for an intern to work with our agronomic scientists and data scientists on cutting-edge projects which leverage soil science to provide integrated solutions that enable resilient, resource-efficient, viable agricultural systems.

As an intern at Syngenta, you will have the opportunity to 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:

• 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

Duration: May 2026 – August 2026

Location: Option to work remotely or hybrid based on location.

As an Agricultural Systems Data Scientist Intern you will:

• 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.

As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs.  

Syngenta Crop Protection keeps plants safe from planting to harvesting. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold.  

Syngenta Crop Protection is headquartered in Switzerland. 

Education & Experience:

• 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.

Preferred Requirements:

• 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.

What We Offer: 

• 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. 

• Full Benefit Package (Medical, Dental & Vision) that starts your first day.  

• 401k plan with company match, Profit Sharing & Retirement Savings Contribution. 

• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. 

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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