2026 Summer Intern - Strategy & Transformation - Data Scientist

ntern, you will have an opportunity to work on project(s) that may entail:**

• Developing analytical solutions by applying data science and modeling techniques to deliver useful insights for better decisions and improved business performance.

• Performing hands-on analysis, design, and development of analytical solutions

• Performing exploratory and targeted data analyses, which could include complex event and real-time event processing

• Building predictive models and machine learning algorithms

• Analyzing large amounts of diverse information to discover trends and patterns

• Driving the collection of new data and the refinement of existing data sources

• Preparing and cleaning structured and/or unstructured data

• Combining models through ensemble modeling

• Presenting complex information using data visualization techniques

• Identifying practical insights, making recommendations, and communicating results to business and technical audiences

• Establishing strong working relationships with cross-functional teams to formulate business problems and validate assumptions

• Assessing new technologies, as needed, as related to solving business problems

• Working under mentorship of a senior data scientist on analytical solutions

• Getting exposure to other work being done across the Enterprise Data, Analytics & Insights team

• Ability to show skills in several of following areas: classification, regression, forecasting, clustering, anomaly detection, co-occurrence grouping, similarity matching, profiling, link prediction, dimensionality reduction, tensor decomposition and regression, and causal inference

• Proficiency with at least one programming language such as Python, R, Scala or Java

• Experience with SQL and familiarity with relational databases

• Experience with data visualization tools such as Tableau, PowerBI, or similar

Required Qualifications:

• Pursuing a Bachelor's, Master's or PhD in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, or another quantitative field

• Must be graduating between December 2026 to August 2028

• Able to work fulltime, 40 hours per week

What will give you competitive edge (Preferred qualifications):

• Experience working with large data sets, distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) and Machine Learning pipelines (Scikit-learn, DASK, etc.) is preferred

• A strong passion for empirical research and for answering hard questions with data

• Excellent teammate and communicator with strong interpersonal skills

• Cultivates open, inclusive culture that supports learning and encourages collaboration

• Has a thirst to learn the latest knowledge in software and hardware products or services, trends, help select the best solutions to meet business requirements, and support the presentation and explanation of design solution to customers

Start dates for this internship role are May & June of 2026.

Compensation:

• The salary range for this role is $7,100 - $10,100 monthly, dependent upon class status and degree.

• GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.

What you'll get from us (Benefits):

• Paid US GM Holidays

• GM Family First Vehicle Discount Program

• Result-based potential for growth within GM

• Intern events to network with company leaders and peers

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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