R&D Intern, Computer & Data Science

Corteva is hiring a R&D Intern, Computer & Data Science in Indianapolis. When: Winter 2027, 6 months. Posted November 13, 2026. Applications close November 19, 2026. Checked against the employer's posting on November 13, 2026.

Grow what’s next. Grow your future. Are you excited to contribute to innovative research that advances food security and sustainability? Corteva Agriscience is seeking students for a six-month internship from February 1st and November 30th within our Research and Development-Computer and Data Science organization in Indianapolis, Indiana.

What You’ll Do: Interns will work on one of many computer science-based projects which integrate formulation science, material informatics, cheminformatics, and automation with software engineering, information science, machine learning, large language models (LLM) database building and visualization, statistics, and/or mathematical modeling.

Engage with the business and scientists to gather requirements, understand use cases, and identify opportunities to improve internal tools, workflows, and business processes.

Explore and implement AI, machine learning, analytics, and automation capabilities to improve efficiency, recommend process improvements, and support data-driven decision-making.

Develop AI-enabled solutions that use historical data and patterns to recommend templates, workflows, task structures, dependencies, or other ways to manage work more effectively.

Integrate and analyze data from multiple internal sources to improve data quality, reporting, dashboards, chatbot capabilities, business insights, and connections across project activities, milestones, and deliverables.

Develop and enhance internal tools through workflow automation, responsibility or role mapping, administrative process improvements, and functionality that reduces manual effort.

What Skills You Need: Currently pursuing a bachelor’s, master’s, or doctoral degree in one of the following: Computer Science, Data Science, Information Science, Machine Learning, Statistics, or Automation Chemistry, Materials Science, Chemical Engineering or similar science fields with relevant data or computer science skills.

Must have successfully completed two full years of undergraduate-level Computer Science or Data Science curriculum including associated laboratory courses.

Strong technical data skills and business communication, curiosity and willingness to interact with stakeholders, problem-solving mindset. Interest or experience in data engineering, data pipelines, cloud data platforms, workflow orchestration, version control, testing, deployment, or CI/CD practices is a plus.

Minimum 3.0 GPA Must be able to relocate to Indianapolis, IN for the duration of the internship. Must be able to work full-time (40 hours per week) for 6 consecutive months between February 1st and November 30th.

There may be some flexibility here. Experience with the R programming language, Python, cloud computing (Azure, AWS, GCP), and visualization packages is a plus but not required.

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.

As the world’s only major agriscience company completely dedicated to agriculture, we’re building a culture that stays curious, thinks differently, acts boldly and takes a stand on what’s right for our customers, our co-workers, our partners and our planet.

We know we’ve got big challenges to solve – we hope you’ll be part of the solution.