R&D Internship – Computer & Data Science

Corteva Agriscience
  • Indianapolis, Indiana
    1 day ago

    Job Description

    Who are we, and what do we do?

    Growwhat’snext. Grow your future. Are you excited to contribute to innovative researchthat advancesfood security and sustainability? Corteva Agriscience is seeking students for full-time internships within ourResearchandDevelopmentorganization in Indianapolis, Indiana.Interns willwork closely withexperienced scientists and technical expertsin an industrialR&Dsetting,withopportunities tobuild skills, contribute to meaningful projects, andnetworkacross the company.

    WhatYou’llDo:

    Internswill work on one of many computer science-based projects including automation, software engineering, information science, machine learning, database building and visualization, statistics, geospatial analysis, and/or mathematical modeling.

    • Engage withbusiness users to gather requirements, understand use cases, andidentifyopportunities 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 thatreducesmanual effort.

    • Work with geographic information systems, where applicable, to develop new data products and conduct assessments.

    What Skills You Need:

    • Currently pursuing a Bachelors, Masters, or Doctorate degree inComputer Science, Data Science, Information Science, Machine Learning, Statistics,Automationor 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,curiosityand 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 torelocateto Indianapolis, IN for the duration of the internship.

    • Must be able to work full-time (40 hoursper week) for at least10 weeksduring thetimeframeofMay to August(some six-month internship opportunities available)..

    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.

    Numbers & Facts

    LocationIndianapolis, Indiana

    Skills

    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Automation Systemsunmatched
    • Business Processesunmatched
    • Business Skillsunmatched
    • Cloud Computingunmatched
    • Computer Scienceunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Conversation Engineunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Geographic Information Systems (GIS)unmatched
    • Geospatial Analysisunmatched
    • Information Scienceunmatched
    • Machine Learningunmatched
    • Mathematical Modelingunmatched
    • Problem Solving Skillsunmatched
    • Process Improvementunmatched
    • Product Developmentunmatched
    • Quality Managementunmatched
    • Reporting Dashboardsunmatched
    • Requirements Managementunmatched
    • Research & Development (R&D)unmatched
    • Software Engineeringunmatched
    • Source Code/Configuration Management (SCM)unmatched
    • Statisticsunmatched
    • Sustainabilityunmatched
    • Testingunmatched
    • Use Casesunmatched

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