BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions. They are seeking a Data Science Intern for their Supply Chain BOM Analytics team to design and create tools for analyzing and benchmarking bill of materials.
Responsibilities
Understand PDS product portfolio
Work with Engineering, Advance Launch Managers (ALMs) and Global Commodity Managers (GCMs) to understand BOM structures and main building blocks of the different product lines
Assist in analysing and processing large-scale Bill of Materials (BOM) datasets across thousands of products to support supply chain optimization and decision-making
Apply data analysis techniques to identify patterns, inconsistencies, and improvement opportunities in BOM structures and component usage
Generate initial reports to validate the data analysis concept
Develop a user-friendly tool for stakeholders to compare BOMs
Provide insight to cost reduction teams (e.g. value added / value engineering activities)
Other projects as deemed necessary by the ALM and GCM Teams
Qualification
Required
Currently enrolled in an accredited college, university, or be a graduate from an accredited college
GPA of 3.0 on a 4.0 scale, or B average, upon initial hire date
Proficiency in Python (specially pandas, numpy) for data cleaning and analysis
Experience with Power Query and Excel for data transformation and reporting
Highly collaborative and team oriented
Self-motivated individual
Ability to interface at all levels within the organization in a professional manner
Preferred
Familiarity with Power BI or other visualization tools is a plus
Understanding of supply chain concepts and BOM structures is highly desirable
Data science background preferred
Benefits
BorgWarner is an automotive supplier of mobility solutions for the vehicle market.
