Agriculture, Data Analytics & Research
Support the Lamb Weston Agricultural Services team with several projects related to agronomy. A skilled mentor with be assigned to the intern for the duration of the internship. This mentor will provide training and complete weekly reviews to assess progress and answer questions.
Typical duties may include but are not limited to:
Working alongside the raw potato grading crew to build an understanding of potato grading
Collaborating with your assigned mentor based on areas of focus which include but are not limited to Agronomy, Partner Grower - Farming, and Raw Utilization/Procurement
Agronomy:
Gain a hands-on in-depth understanding of the science behind potato growth, development, and how environmental variables directly affect quality & yield
Responsible for new variety data capture, trial development and implementation, field scouting, and observation
Partner Grower - Farming:
Review, analyze, and learn about the budgetary process and practices that affect quality and yield such as crop management, pest & fertilizer applications, soil moisture management, chemigation & fumigation
Raw Utilization/Procurement:
Work directly in the field and help to help ensure the highest quality potato attributes and build an understanding of how plant efficiencies directly impact raw product costs
Build a fundamental understanding of raw product storage and raw utilization optimization
Basic and Preferred Qualifications
Basic and Preferred Qualifications
Must be currently enrolled or a recent graduate of an Agriculture, Agronomy, Crop Science, or related program
Juniors, Seniors, or Master’s degree students preferred but also accepting recent grads
Minimum GPA 3.0 preferred
Valid U.S. driver’s license and ability to meet the Lamb Weston Authorized Driver standards
Excellent verbal and oral communication skills
Ability and willingness to work independently
Strong analytical skills
Strong computer competency and experience using a tablet and/or iPhone
Experience with MS suite of products desirable