R&D Internship – Computer & Data Science

Quick Facts

• Full-time internships in Research and Development
• Indianapolis, Indiana

Description

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. You will engage with business users to gather requirements and identify opportunities to improve internal tools, workflows, and business processes, and explore AI, machine learning, analytics, and automation to improve efficiency and support data-driven decision-making.

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

Requirements

• 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 (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 May to August (some six-month internship opportunities available)

Benefits

• Opportunities to build skills, contribute to meaningful projects, and network across the company