IS Intern

Job SummaryWe are seeking a highly motivated Analytics & AI Intern to join our Data & Analytics team and support strategic initiatives to transform business processes through advanced analytics and artificial intelligence. This internship offers a unique opportunity to work on a high-impact project to enhance the pre-allocation decision-making process through AI-driven recommendations.Job ResponsibilitiesStudy and document selected workflows, including business rules, data input, and decision-making criteria.Assist in gathering, cleaning, and structuring datasets required for analytics and machine learning use cases, ensuring data quality and consistency.Collaborate with subject matter experts to capture and translate business decision rules into structured formats for analytics and recommendation systems.Contribute to building and testing rule-based or machine learning models that assist in optimizing pre-allocation decisions.Analyze model outputs and compare them with real-world decisions to assess accuracy, identify gaps, and suggest improvements.Summarize findings, insights, and recommendations in a clear, structured format for stakeholders, including presentations and documentation.Learning ObjectivesGain hands-on exposure to how decisions are made when inventory is limitedLearn how business rules, operational knowledge, and constraints drive decisionsUnderstand key trade-offs such as inventory utilization, waste reduction, and delivery prioritiesAbility to translate complex business workflows into structured analytical problemsQualificationsRequired Current college/High school student pursuing or planning for a degree in Computer Science, Information Technology, Mathematics, or a related field.Basic understanding of computer hardware and software.Interpret data and derive meaningful insightsExperience (academic or project-based) in:Data cleaning, preparation, or transformationWorking with structured /unstructured datasetsStrong attention to accuracy and data qualityBreak down complex business problems into structured analytical componentsBasic machine learning concepts (regression, classification, clustering)Working ConditionsSitting for extended periods of time.Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices.