R&D Data Science Internship — AI, ML & Automation

corteva; Indianapolis (IN); On-site; USD 28,000 - 39,000; Full time

Job summary

Corteva Agriscience is offering full-time internships in our Research and Development organization in Indianapolis, Indiana. Interns will work closely with experienced scientists and technical experts on computer science–based projects, including automation, software engineering, information science, machine learning, and visualization.

You will engage with business users to gather requirements, explore AI/ML applications, and develop AI-enabled solutions to improve efficiency and data-driven

Qualifications

• Pursuing a degree in CS/DS with coursework completed.
• Must have completed two years of undergrad CS curriculum and maintain a 3.0+ GPA.
• Able to relocate to Indianapolis, IN for the internship duration.
• Available to work full-time (40 hours/week) for about 10 weeks, May–August.

Responsibilities

• Work on computer science-based projects including automation, software engineering, ML, databases and visualization.
• Engage with business users to gather requirements and improve internal tools and workflows.
• Explore AI/ML analytics to drive data-driven decision making and efficiency.
• Develop AI-enabled solutions using historical data to guide templates, workflows, or task structures.
• Integrate data from multiple sources to enhance dashboards, reporting, and insights.
• Enhance internal tools through automation and process improvements; support data products.

Skills

Undergraduate CS/DS

Two years CS coursework

GPA 3.0+

Data skills & stakeholder comms

Relocate to Indianapolis

Full-time 40h/wk for 10+ weeks

Education

Pursuing Bachelor's/Master's/PhD in CS/DS

2+ years undergraduate CS coursework

Tools

Python

SQL

Git/CI–CD

Cloud platforms

Job description

Corteva Agriscience is offering full-time internships in our Research and Development organization in Indianapolis, Indiana. Interns will work closely with experienced scientists and technical experts on computer science–based projects, including automation, software engineering, information science, machine learning, and visualization.

You will engage with business users to gather requirements, explore AI/ML applications, and develop AI-enabled solutions to improve efficiency and data-driven