Data Science Intern

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.

What makes You an ideal candidate?

• Strong written and verbal communication skills required. This incumbent will be required to give presentations and communicate with business leaders.  
• Strong analytical, quantitative, problem solving, and conceptual skills required.  
• Must be detail oriented and able to prioritize tasks to meet deadlines.  
• Must be able to work independently or in a team setting.

Additional Knowledge and Skills

Working effectively within an AI enabled environment:  

• Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
• Skills in evaluating AI outputs for accuracy, compliance, and bias
• Experience integrating AI into workflows to improve efficiency or insights
• Familiarity with AI assisted research, summarization, and content generation
• Understanding of responsible AI use, including ethics and data protection 

Work Experience and Education

• Must be a current student pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Data Science, Data Analytics, Information Systems, Statistics with at least one semester remaining upon start of the internship.  
• Must possess a minimum of a 3.0 (out of a 4-point scale) overall GPA.  
• Previous internships are considered a plus.
• Junior, Senior, or Masters classification preferred

Our program offers  

• 11 weeks of work experience (May 26- August 6, 2027)
• Executive and peer networking opportunities  
• Independent and team project experiences  
• Philanthropic activities  
• Career development  
• Opportunity to apply for full-time career positions  

Our Culture: 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.  

Work Life Balance: Flexible hybrid work environment, 3-days a week in office.

GM FINANCIAL DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM FINANCIAL AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

#GMFJobs #LI-Hybrid #LI-KK1

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