Intern - Data Scientist

Quick Facts

• Internship start: January 11, 2027

• Work dedication: 20–25 hours/week during the semester; up to 40 hours/week during breaks and summer

• Anticipated graduation: December 2027 – May 2028

Description

Work on the Automotive team using data to better understand and connect with current and potential customers. The role emphasizes marketing analytics, data science and visualization, business analysis, and coursework in statistics and market research, leveraging data visualization to support data-driven storytelling initiatives with GM as a first priority.

Responsibilities

• Leverage education and experience in data visualization to support data-driven storytelling initiatives across the tower focusing on GM as a first priority.

• Leverage data and data available through established partnerships to develop opportunities for creating high-value audiences and other models.

• Help coordinate and prepare for activities designed to build, test and perfect data solution.

• Apply algorithms relying on knowledge of statistical modeling to improve the performance/quality of existing products.

• Build, evaluate and optimize models.

• Collaborate with internal and external stakeholders to understand business and insight goals.

• Collaborate with other data scientists and team leads to define requirements including data sources, patterns, and implementation.

• Work with the account team to transition development projects to production systems.

Requirements

• Currently pursuing a Bachelors or Masters in Business; coursework in a quantitative field (Data Science, Statistics, Math) or related degree programs.

• Strong interpersonal and communication skills.

• Ability to work independently and as part of a team.

• Detail-oriented with excellent organizational skills.

• Proficiency in Microsoft Office Suite (CRM software is a plus).

• Basic to moderate SQL experience to model and identify patterns.

Benefits

• Opportunity to apply statistics and data science tools on datasets.

• Experience building and optimizing models and transitioning development projects to production systems.

• Exposure to data-driven storytelling initiatives focused on connecting with current and potential customers.