About the role#
We are looking for a Data Science Intern for our Summer 2027 program. You will join our teams that support business verticals such as marketing, lending, and warranties. This is a full-time, paid internship running for 11 weeks from May 2027 through August 2027. Note that we do not provide sponsorship for this position.
What you'll do#
- Analyze data to provide insights that support business decisions.
- Help develop and implement data models, algorithms, and predictive models.
- Use statistical and machine learning techniques to find patterns in data.
- Assist in creating new ways to increase data intelligence across the business.
- Present your analysis results to colleagues and company leaders.
What you'll need#
- Current enrollment in a bachelor or master program with a graduation date between December 2027 and May 2028.
- A major in Data Science, Statistics, Mathematics, Physics, or Computer Science.
- A GPA of 3.5 or higher.
- Proficiency in Python programming.
- Working knowledge of SQL, Tableau, and Excel.
- An understanding of the Data Science Life Cycle.
Location & details#
- This is an on-site role based in either Tempe, Arizona, or Dallas, Texas.
- You will work a standard schedule of 40 hours per week, Monday through Friday.
About DriveTime
DriveTime is a pre-owned auto retailer founded in 2002. The company focuses on vehicle sales, financing, and protection services. It maintains headquarters in Tempe, Arizona, and Dallas, Texas. The organization employs over 2,000 people and operates across the United States.
How to get in at DriveTime
Applying early is your best strategy for landing a role at DriveTime, as recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right person often beats waiting in a digital queue. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the position or a referral, which materially improves response rates.
