Intern – Business Information Systems, Enterprise Software Solutions

Business and Information Services (BIS) supports Argonne National Laboratory's information technology, networking, software, information and cybersecurity, library, information management, business transformation, and service licenses. The Enterprise Software Solutions team within BIS enables reliable, secure, and effective business applications and services that support the Laboratory's mission. We are seeking a motivated undergraduate intern to support enterprise application development, business systems analysis, and operational support activities. This position provides an opportunity to work alongside technical and business professionals on projects that improve internal business processes, data accessibility, and user experience across enterprise systems. The ideal candidate is at least a sophomore pursuing a degree in computer science, information systems, software engineering, or a related field. They will bring foundational knowledge of application development and programming, strong analytical and problem-solving skills, and an interest in learning about enterprise business systems in a collaborative environment. This is a remote, part-time internship (approximately 20 hours per week), with the possibility of increased hours during academic breaks. The appointment duration will be based on organizational needs and the intern's academic schedule, with the potential for extension. Remote interns are expected to participate on camera during meetings. ## Responsibilities Include, But Are Not Limited To - Assist with the design, development, testing, documentation, and support of business applications and enterprise system enhancements. - Support analysis of business requirements, workflows, and user needs to help identify system improvements and solutions. - Develop and maintain scripts, reports, dashboards, integrations, or other technical deliverables under the guidance of experienced team members. - Participate in software development lifecycle activities, including requirements gathering, development, testing, deployment, and post-implementation support. - Assist with data collection, validation, analysis, and reporting to support business and operational decision-making. - Help investigate and resolve application, data, and user-support issues; document findings and recommended solutions. - Create and update technical documentation, user guides, process documentation, and knowledge-base materials. - Collaborate with product owners, developers, system administrators, and end users in a team-oriented environment. - Participate in team meetings, project planning activities, and Agile ceremonies, as appropriate. - Identify opportunities to improve processes, automate repetitive tasks, and enhance the usability and reliability of enterprise systems. - Apply Argonne's core values of impact, safety, respect, integrity, and teamwork in all aspects of the work. ## Education and Experience Requirements - Currently enrolled as a sophomore, junior, or senior in an accredited bachelor's degree program in computer science, information systems, software engineering, data science, or a closely related field. - Coursework or demonstrated experience in one or more technical tracks: Application Development (programming languages, software engineering, databases, systems analysis; working knowledge of Python, Java, JavaScript, C#, SQL, or similar); Enterprise Data Warehouse (EDW) and Reporting (relational databases, SQL, data modeling, ETL or data integration, data quality, data governance, business intelligence, reporting, or data visualization tools); Artificial Intelligence (AI) (AI and machine learning concepts, data preparation, model development or evaluation, generative AI, natural language processing, or related tools and frameworks). - Familiarity with fundamental software development concepts, including version control, testing, debugging, and documentation. - Strong analytical, problem-solving, and organizational skills. - Ability to communicate clearly and effectively in writing and verbally with both technical and nontechnical audiences. - Ability to work independently on assigned tasks while collaborating effectively with a multidisciplinary team. - Attention to detail and a commitment to producing high-quality work. - U.S. citizenship is required. Successful applicants must provide proof of U.S. citizenship to comply with federal regulations and contract requirements. ## Preferred Qualifications - Experience with data analysis, visualization, reporting tools, or relational databases. - Exposure to enterprise applications, business process automation, cloud platforms, APIs, or system integrations. - Understanding of large language models, generative AI, machine learning concepts, or responsible AI practices.