Auburn Hills, Michigan, USA
3 days ago
Data Analytics Intern

Position

Data Analytics Intern – PDS Technology & Innovation (Year-round)

Location

PTC, Auburn Hills, MI

About us

BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions for the vehicle market. 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.

Our Culture

We believe health and safety of our employees are a top priority, we care about our local communities and the global environment. BorgWarner promotes and nurtures a diverse and inclusive environment, honors integrity, strives for excellence, commits to responsibility for our communities and the environment, and builds on the power of collaboration. 

Career Opportunities

We manage talent as seriously as we manage our businesses and encourage you to learn about our proud history, strong culture, technologies and future vision. We offer a strong local presence and interesting global opportunities. Start your future with BorgWarner now!

Job purpose

We are seeking a highly motivated Data Analytics Intern to develop an AI-agent–based system that supports technology scouting and project selection in the automotive electrification domain.

The intern will build a prototype platform that ingests technical literature, benchmark data, and product requirements, and synthesizes structured insights to inform future engineering projects. This role sits at the intersection of AI, data engineering, and automotive systems.

Key responsibilities

Develop pipelines to ingest and process technical papers (IEEE, SAE, patents), benchmark datasets (CSV, Excel, PDF, structured reports) and internal product requirements.Implement role-based AI agents, including paper summarization and relevance scoring agents, customer signal extraction agents, benchmark comparison, and gap-analysis agents by using large language models (LLM’s) with tool usage, retrieval, and memory.Design and implement a knowledge storage layer including vector database for search, structured data tables for benchmark and KPI’s.Develop automated summaries highlighting emerging technology trends, gaps between customer requirements and existing solutions and potential project opportunities.Implement human-in-the-loop review workflows and document system architecture, agent roles, and usage instructions.

What we’re looking for

Current full-time enrollment in an accredited college, university, vocational/trade school.Ability to report onsite at least three days to our Auburn Hills CampusPursuing a BS/MS/PhD in Computer Science, Data Science, Electrical/Computer Engineering, or related field.Coursework or experience in machine learning and natural language processing (e.g., transformers, prompt engineering, fine-tuning).Proficiency with Python (pandas/NumPy) and at least one ML framework (PyTorch or TensorFlow).Familiarity with vector databases/embeddings (FAISS, Milvus, pgvector, or Azure Cognitive Search) and RAG concepts.Experience building APIs/services (FastAPI/Flask) and working with Git.Ability to analyze large datasets, design experiments, and communicate results clearly.

What we believe

Inclusion-We value diversity in people, ideas, and experiences. Integrity- We believe in transparency, authenticity, and depend on each other to deliver what we promise.  Excellence- We contribute to our developments by seeking knowledge and sharing information.  Responsibility- We care about our local communities and the global environment. Collaboration- We are one BorgWarner.

Safety

This position will adhere to Global Star Safety Program, including safety rules, practices and training as outlined in the BorgWarner PTC Safety Policy Manual, which includes the use of equipment, protective devices, or clothing that the employer requires. This individual will work in manners that stress the importance of preventing accidents and illnesses. He/she must take every precaution reasonable in the given circumstance for the protection of themselves and coworkers. In addition, he/she is responsible for reporting all injuries and/or possible dangerous situations, incidents, or occurrences to the immediate supervisor.

Equal Employment Opportunity

BorgWarner is an equal employment opportunity employer such that all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability or protected veteran status.

Visa Sponsorship

BorgWarner does provide sponsorship for employment visa status based on business need. However, for this role, applicants must be currently authorized to work in the United States on a full-time basis. Applicants must be legally authorized to work in the United States without the need for immigration sponsorship now, or in the future. This includes any work authorization requiring an entry of the company as the employer of record to immigration agencies, or otherwise requiring a written submission from the company to secure, maintain, transfer, or extend such authorization (e.g. H-1B, STEM OPT, CPT, TN, E-3, etc.)

No Unauthorized Referrals from Recruiters & Vendors

Please note that BorgWarner and any of its affiliated companies does not seek or accept unsolicited resumes or offers from third party recruiters or staffing agencies associated with any published or unpublished employment opportunities. Any unsolicited information sent to BorgWarner will be considered as unencumbered and free from any fee or charge whatsoever. Only members of our Human Resources Team have the authority to engage or authorize recruiting services, which must be agreed upon before the unsolicited resume or offer is received.

Join the company that is creating solutions that support a cleaner, more energy-efficient world.

For more information about BorgWarner, please visit www.borgwarner.com

Internal Use Only: Indirect Hourly

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