Forward Deployed Engineering Intern (Summer 2027)

What you'd do

• Analyze supply chain and operations data to uncover patterns, inefficiencies, and opportunities for improvement, and turn what you find into something a business user can act on.
• Learn our supply chain business functions and build the domain knowledge that makes analytics work matter — sitting with planners and operators to understand the decision behind the data.
• Pair with your manager / mentor, following established patterns and standards so your work is reliable and reusable.
• Document your methodology, business logic, and assumptions so your work is transparent and can be picked up after the summer ends.
• Participate in the pod's sprint cadence — planning, standups, demos, and retrospectives
• Own one scoped summer project end to end and present it to the team and business stakeholders in your final weeks.
• Build components of dashboards, Ontology-based workflows, and decision-support tools within our decision intelligence platform, under the guidance of experienced FDEs (Forward Deployed Engineers).
• Support the development of predictive models (demand forecasting, inventory optimization) and prescriptive analytics (scenario planning, decision support) on real datasets.
• Help gather and document data requirements from diverse sources (Azure, data lakes, SQL Server, Excel), supporting Senior FDEs as they implement changes.
• Use AI-powered development tools to build and iterate quickly while developing strong engineering fundamentals.

What they want

• Currently enrolled as a full-time student at an accredited U.S. college or university
• Pursuing an undergraduate degree in Data Science, Business Analytics, Supply Chain, Industrial Engineering, IT, Computer Science, and/or related field.
• Ability to be in the greater Milwaukee area in the summer.
• Duration: Summer 2027. Up to 40 hours per week.
• Working Arrangements: Hybrid internship – must have a quiet workspace away from interruptions, with the option to work in the office. Be able to maintain regular contact with the supervisor/team via virtual methods.
• PLEASE NOTE that applicants must be authorized to work for any employer in the US without the need for sponsorship, now or in the future.Preferred
• Coursework or projects using Python or R for data analysis and automation.
• Familiarity with decision intelligence tools (Palantir, Databricks, etc.) or BI tools (PowerBI, Tableau, Microsoft Fabric).
• Exposure to cloud platforms (Azure, AWS) or databased (SQL Server, Snowflake).
• Coursework in statistics, machine learning, optimization, or operations research.