Description-
Assignment Purpose/Scope:
Support the Assembly Test, Finish, Rework and New Model Launch areas with development of process improvements, innovations, and software tools. Engage in problem solving related to quality and process flow topics in the department. Work with department management teams to iterate on existing concepts to improve transparency of the quality landscape, F1-F2 and Launch Processes, and Vehicle / Information Flow management. Also, imagine the next generation of flow concepts and software tools and assess feasibility and potential benefits. Performs other duties as assigned by management.
Assignment Duties:
Quality, Data Analytics, Problem Solving: Engage in Problem solving in the Department related to KPI impacts and quality. Develop new ways to display operations data that facilitates a faster and clearer path from problem recognition to solution. Participate in Problem solving activities in department to improve KPI’s and develop new methods and tools. This may include development of new mobile software or hardware solutions in conjunction with software to streamline the defect documentation process. Develop or enhance tools to improve visibility of plant quality process adherence. Includes interfacing with existing plant quality management IT systems. Also, may include suggesting and testing new ideas that don’t yet exist.
Vehicle Flow Management: Support management and quality teams to develop and enhance existing processes with accompanying software tools to manage offline vehicle flow more efficiently through multiple and complex testing and rework areas. Simplify and save labor required from process supporters by providing smarter tools to detect irregularities or inconsistencies in vehicle routing decisions, in order to support faster resolution, feedback to the sources of such issues, and improve on-time delivery.
Vehicle Launch Preparations: Support management and quality teams to enhance processes related to production, test, and finish related to New Vehicle Launch processes in the Department.
Creation of innovative dashboards to quantify, understand and visualize all the intricacies of launching future vehicles in Plant 10.
Assignment Projects:
- Create process sheets for problem management and data quality activities
- Develop a tool for simulating process changes and impacts on vehicle flow, throughput times, and on time delivery and testing implementation where feasible
- Develop further use applications for Artificial Intelligence cases in Test, Finish, and Vehicle Launch area
- Investigate innovations opportunities related to processes with vehicle and information flow: such as developing a tool for automatic routing of vehicle and shipping.
- Update co-op manual and onboarding information
- Perform exploratory data analysis to identify patterns, correlations and trends
- Conduct statistical analysis to uncover insights and support decision making processes.
- Support the implementation and optimization of data analytics tools and processes.
Assignment Training Plan (Technical and Process Skill Development):
- IPSQ, Quality Analytics, Splunk, etc.
- Power Bi, Apex dashboard development
- SQL
- Microsoft Office Products (Word, Visio, Project, etc.)
Assignment Development Plan:
- Organizational skills
- Communication & facilitation skills
- Planning
- TX45 receives finished product from assembly and is responsible for testing, inspecting, reworking, and shipping all vehicles on site. They are the gateway to the customer and must ensure premium quality in a timely manner. In addition, they are responsible for launching new series, which includes multiple build phases. Interns in TX45 will gain added insight into these phases of automotive manufacturing.
Qualifications:
- Pursuing a degree in Engineering degree (preferably electrical, computer, mechanical, or industrial) / Data Science / Statistics or related field.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Microsoft Excel (experience with VLookup, Macros, PivotTables, etc. preferred)
- Proficiency in data manipulation and analysis utilizing tools such as Python, SQL or similar
- Preferred experience with data visualization tools such as Tableau, Power BI, etc.
- Detail-oriented/Organized
- Effective communication skills
- Possess a minimum cumulative GPA of 3.0 on the US grading scale
- Must be enrolled at a university outside of the United States.
- Must have completed a prior BMW internship of at least 3 months in length.
- Ability to work full-time on-site (40 hours / week).
- Complete and pass a substance abuse test before the work term.
- Work term dates are from March 09, 2026 to September 18, 2026.
- Must provide the following paperwork in English:
- Curriculum Vitae/Resume
- Last University Performance Record
- Cover letter (not required)
- Relevant references and certificates (not required)
BMW Manufacturing Company is an equal opportunity employer. It is the policy of BMW MC to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
