Intelligent Automation Engineering Intern - Summer 2026

About the Role

Key Responsibilities

• Collaborate with analysts to gather requirements, document process definitions, and design automation solutions.
• Assist in evaluating and prioritizing automation opportunities.
• Apply RPA technologies (UiPath/Blue Prism) to automate business processes and support development lifecycles.
• Conduct data collection, cleaning, and analysis to drive insights for business process improvements.
• Utilize process mining techniques to analyze and optimize business processes.
• Develop visually compelling reports and dashboards to communicate insights to stakeholders.
• Support the design and implementation of machine learning models to enhance automation capabilities.
• Research and stay updated on new technologies in the intelligent automation ecosystem.
• Provide documentation of automation processes and participate in design and code reviews.
• Support analytics and automation teams with project management and coordination.

Requirements

• Pursuing a bachelor's or advanced degree in Computer Science, Information Systems, Data Analytics, MIS, Engineering, or related fields.
• Minimum GPA of 3.0 and completion of relevant coursework in data analytics, MIS, or related areas.
• Familiarity with RPA tools (UiPath/Blue Prism), process mining techniques, and hyper-automation solutions.
• Proficiency in programming languages like Python, R, or SQL.
• Experience with data visualization tools (e.g., Power BI, Tableau) is a plus.
• Strong analytical, problem-solving, and organizational skills with attention to detail.
• Exceptional written and verbal communication skills for stakeholder interaction.
• Ability to work independently and in team environments within fast-paced, dynamic settings.
• Demonstrated interest in process improvement and automation methodologies.
• Proficiency in business support applications such as Microsoft Office (Excel, PowerPoint, Word).
• Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

Nice to Have

• Experience with data visualization tools like Power BI or Tableau.

Qualifications

• Pursuing a bachelor's or advanced degree in relevant fields.
• Minimum GPA of 3.0.

Benefits & Perks

• Health care insurance (medical, dental, vision).
• Retirement planning (401(k)).
• Paid days off (sick leave, parental leave, flexible vacation/wellness days, PTO).