Data Engineering and Analysis Intern

At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern you will gain hands-on career specific experiences to maximize your real-world potential. Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office at minimum three times per week or other frequency dictated by the business and two times per week remote. Your Role: As a Data Engineering and Analysis Intern, you’ll have the opportunity to gain hands-on experience in data-driven decision-making and contribute to our global sales operations. You will collaborate with senior team members, work on data collection, analysis, and reporting, and help optimize business processes using data science techniques. What You'll Do: Assist in gathering and preparing data from various sources Clean, transform, and analyze data to ensure quality and accuracy Support data analysis, hypothesis testing, and exploratory data analysis (EDA) Help build and validate predictive models using basic machine learning techniques Generate reports and create data visualizations to highlight business insights Collaborate with cross-functional teams (Sales, Finance, CRM, Omnichannel) to support data-driven solutions Contribute to business performance tracking, including dashboards and KPIs Participate in training and mentorship opportunities to enhance your technical skills Your Skills & Abilities: Currently undergoing bachelor's or master's degree in data science, Data Engineering, Business Analytics, or a related field Basic knowledge of programming languages (Python preferred) and data analysis tools (e.g., SQL, Excel) Basic knowledge of data visualization tools (Power BI, Tableau) is a plus Completed coursework in AI, machine learning, deep learning, and natural language processing (NLP) Worked on academic projects involving generative models (like GPT-3, GANs) or reinforcement learning What We Offer: Mentorship from experienced professionals in business and data Exposure to real-world data challenges and solutions Opportunity to contribute to meaningful projects that impact business outcomes #J-18808-Ljbffr