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Indianapolis, IN

Internship

Onsite

Intern

Corteva Agriscience is hiring a six-month R&D intern in its Computer and Data Science organization. The intern will contribute to computer science-based research projects and develop AI, analytics, automation, and data solutions that improve internal tools and business processes.

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Responsibilities

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

Qualification

Required

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
Minimum 3.0 GPA

Preferred

Interest or experience in data engineering, data pipelines, cloud data platforms, workflow orchestration, version control, testing, deployment, or CI/CD practices is a plus
Experience with the R programming language, Python, cloud computing (Azure, AWS, GCP), and visualization packages is a plus