Who are we, and what do we do?

Corteva Agriscience is the only major agriscience company in the world completely dedicated to agriculture. Our purpose is to enrich the lives of those who produce and those who consume, ensuring progress for generation to come. Our inspiration is to be a market shaper, driving the next generation of agriculture products that help farms and farmers flourish and through partnering with society becoming the most trusted partner in the global agriculture and food community. With a global footprint and over 20,000 employees, Corteva is building the future of agriculture and leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.

Join a fast-paced research & development team that is using leading edge technologies to advance software-based agronomic solutions for growers around the globe. As an Agronomic Data Science & Pathology Intern at Corteva, you will have a unique opportunity to learn, grow, and expand your knowledge as you help research and develop the digital crop advisor of tomorrow. Experience with plant pathology and coding in python is essential for this position. Applicants should also have a drive for excellence, excel in using creative approaches to solving complex problems, and possess an innovative mindset. Strong applicants will have completed courses or projects involving data science and/or statistical analysis and modelling. Affinity with agriculture, pathology, epidemiology and biological systems is an advantage.

What You'll Do:

Model, integrate, and analyze agricultural and weather data
Plant disease and pest management modeling in crops such as corn, soybeans and canola, etc
Develop and execute Python code in high performance distributed Unix/Linux computing environments
Work collaboratively on agile research teams to create innovative software solutions for growers
Design, develop, and support a variety of high-performance software solutions for R&D
Continuously learn and share your technical knowledge with key leaders and project stakeholders

What You'll Bring:

Enrollment in a Masters or Doctoral degree program in mathematics, statistics, plant pathology, data science, computer science or related agricultural engineering field is preferred
3.5+ current cumulative GPA
Excellent problem-solving skills using creative approaches
Hands-on experience with python, data analysis and statistics is required
Relevant experience using machine learning and mechanistic modelling approaches to solve complex problems with mixed variable datasets
Domain knowledge of plant pathology, epidemiology and biological systems
Ability to work effectively with cross-functional science and engineering teams and business partners

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.

Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.