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Indianapolis, IN

Internship

Onsite

Intern

Corteva Agriscience is seeking students for full-time internships within its Research and Development organization in Indianapolis, Indiana. The intern will contribute to computer science-based projects involving automation, software engineering, data science, artificial intelligence, machine learning, databases, visualization, statistics, geospatial analysis, and mathematical modeling, while collaborating with business users and technical experts.

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Responsibilities

Engage with business users 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
Work with geographic information systems, where applicable, to develop new data products and conduct assessments

Qualification

Required

Currently pursuing a Bachelors, Masters, or Doctorate degree in0Computer Science, Data Science, Information Science, Machine Learning, Statistics,0Automation0or a related Field
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, curiosity0and willingness to interact with stakeholders, problem-solving mindset
Minimum 3.0 GPA
Must be able to0relocate0to Indianapolis, IN for the duration of the internship
Must be able to work full-time (40 hours0per week) for at least010 weeks0during the0timeframe0of0May to August0(some six-month internship opportunities available)

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