Data Science Summer Intern
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What you'll do
- Interns will 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 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.
What they're looking for
- Currently pursuing a Bachelors, Masters, or Doctorate degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, Automation or 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, curiosity and willingness to interact with stakeholders , problem -solving mindset.
- 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 at least 10 weeks during the timeframe of May to August (some six-month internship opportunities available ) .
Nice to have
- 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 but not required .
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Who are we, and what do we do?
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 full-time internships within our Research and Development organization in the Computer & Data Science space in Indianapolis, Indiana.
Interns will work closely with experienced scientists and technical experts in an industrial R&D setting, with opportunities to build skills, contribute to meaningful projects, and network across the company.
What You’ll Do:
Interns will 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 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.
What Skills You Need:
Currently pursuing a Bachelors, Masters, or Doctorate degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, Automation or 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, 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 at least 10 weeks during the timeframe of May to August (some six-month internship opportunities available)..
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.
Company
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