Data Science Intern — R&D Analytics & Automation

corteva

Indianapolis (IN)

On-site

USD 25,000 - 39,000

Full time

4 days ago
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Job summary

Corteva Agriscience is seeking students for full-time internships within our Research and Development organization. Interns will work closely with experienced scientists, engineers, data professionals, and technical experts in an industrial R&D setting, with opportunities to build skills, contribute to meaningful projects, and network across the company.

You'll participate in R&D Digital projects supporting data, automation, analytics, and digital tool development, partnering with stakeholders

Qualifications

  • Pursuing a degree in a related field with a minimum 3.0 GPA.
  • Interest in data, automation, analytics, software development, and AI-enabled solutions.
  • Willing to relocate to Indianapolis, IN for the duration of the internship.
  • Able to work full-time (40 hours per week) for at least 10 weeks (May–August).

Responsibilities

  • Participate in R&D Digital projects supporting data, automation, analytics, and digital tool development.
  • Partner with R&D stakeholders to translate business needs into digital solutions.
  • Build, enhance, or automate data workflows, dashboards, and tools to improve efficiency and decision-making.
  • Apply data engineering, software engineering, analytics, and ML/AI capabilities to R&D problems.

Skills

Analytical mindset
Problem-solving
Stakeholder communication
Team collaboration

Education

Bachelor's or higher in CS/DS/Engineering/Statistics/Analytics

Tools

Python
SQL
Power BI
Azure
C#
R
Data Visualization
Cloud Platforms

Job description

Corteva Agriscience is seeking students for full-time internships within our Research and Development organization. Interns will work closely with experienced scientists, engineers, data professionals, and technical experts in an industrial R&D setting, with opportunities to build skills, contribute to meaningful projects, and network across the company.

You'll participate in R&D Digital projects supporting data, automation, analytics, and digital tool development, partnering with stakeholders

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