Intern - Data Science

Why GM Financial?  

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.  

At GM Financial, our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.  

Our Purpose: We pioneer the innovations that move and connect people to what matters.

About this role:

The Data Science Intern supports data-driven decision making by conducting research, analyzing complex datasets, and developing statistical and machine learning models to identify trends, improve operations, and solve business challenges. This role assists with forecasting, optimization, and data mining initiatives while gaining hands-on experience with advanced analytics techniques and tools.

The intern also prepares reports and presentations, evaluates key business metrics, and communicates insights and recommendations to stakeholders. This position provides valuable exposure to data science methodologies, predictive modeling, and the practical application of analytics to business strategy and decision-making.

In this role you will:

• Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets
• Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms
• Summarizing, reporting, and providing polished presentations to business leaders  
• Performs research, analysis, and modeling on organizational data  
• Assists in analyzing key metrics and performing data analysis  
• Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms  
• Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations, and effectively communicating to leadership the impact to the business  
• Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions  
• Ensures that the delivered products meet the business needs of the company  
• Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership