Intern - Data Science

GM Financial•Fort Worth, TX

6d•Hybrid

About The Position

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.

Requirements

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.
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
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.

Nice To Haves

Previous internships are considered a plus.
Junior, Senior, or Masters classification preferred

Responsibilities

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