Indiana Staffing
Data Science Intern, Supply Chain BOM Analytics
BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions. We are a company of innovators and independent thinkers that brings together talented employees, meaningful work and amazing technology in a unique environment. At BorgWarner, we constantly work towards our vision of a clean and energy-efficient world. BorgWarner PowerDrive Systems is currently looking for a "dynamic, results driven" individual to join as a Data Science Intern, Supply Chain BOM Analytics in our Summer Internship Program. In this role, under the supervision of a GSM Director, the intern will be primarily responsible for designing and creating a tool to facilitate the systemic analysis and benchmarking of the bill of materials (BOM) of BorgWarner PDS products. Key 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 What We Are Looking For
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 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 Highly collaborative and team oriented Self-motivated individual Ability to interface at all levels within the organization in a professional manner BorgWarner does provide sponsorship for employment visa status based on business need. However, for this role, sponsorship is not available. No unauthorized referrals from recruiters & vendors.
BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions. We are a company of innovators and independent thinkers that brings together talented employees, meaningful work and amazing technology in a unique environment. At BorgWarner, we constantly work towards our vision of a clean and energy-efficient world. BorgWarner PowerDrive Systems is currently looking for a "dynamic, results driven" individual to join as a Data Science Intern, Supply Chain BOM Analytics in our Summer Internship Program. In this role, under the supervision of a GSM Director, the intern will be primarily responsible for designing and creating a tool to facilitate the systemic analysis and benchmarking of the bill of materials (BOM) of BorgWarner PDS products. Key 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 What We Are Looking For
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 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 Highly collaborative and team oriented Self-motivated individual Ability to interface at all levels within the organization in a professional manner BorgWarner does provide sponsorship for employment visa status based on business need. However, for this role, sponsorship is not available. No unauthorized referrals from recruiters & vendors.