Enterprise Mobility · 7 hours ago
Data Science Intern
St Louis, MO
Internship
Onsite
Intern
$20/hr - $20/hrEnterprise Mobility is a leading provider of mobility solutions, and they are seeking a driven and passionate Data Science Intern to join their Summer 2026 Internship Program. As an intern, you will gain hands-on experience building analytical solutions that improve business processes and collaborate with both technical and non-technical team members to support the creation of analytical products.
RentalTourismTravel
No H1B
Responsibilities
Support predictive modeling – Assist in data collection, cleaning, and analysis to support predictive modeling and optimization projects
Collaborate – Work with cross-functional teams to understand business requirements and contribute to analytical solutions
Forecasting– You’ll build your own predictive model, support test out and present your findings to leadership
Designing experiments- Assist with designing experiments and analyzing results to inform business decisions
Qualification
Required
Must be a student enrolled full time for their upcoming final semester in a Master's degree program in a Statistical or Mathematical field (e.g. Engineering, Social Science or Statistics) set to graduate between December 2026 – June 2027
Must have experience with predictive models, statistical inference, and/or other forms of quantitative analysis
Must have proficiency in R or Python
Must have experience using libraries like tensorflow or pytorch
Must be a resident of greater St. Louis, Missouri for summer 2026 or be attending a St. Louis based university
Must be able to work Monday - Friday, 40 hours per week from May 18th - August 7th 2026
Must be 18 years of age or older
Must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future
Preferred
Experience designing experiments
Experience exploring and visualizing data
Experience using SQL
Experience working with data (merging, recording, etc.) from a variety of sources/formats
Experience working with observational data to attempt causal inference (e.g. matching, weighting, etc.)
Company
Enterprise Mobility
At Enterprise Mobility™ we are paving a new way forward by creating better experiences for how we move.
Founded in 1957
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Chrissy Taylor
President & Chief Executive Officer
Mike Andrew
Chief Legal & Legislative Officer
Recent News
Research and Markets
2025-09-26
2025-08-19
Company data provided by crunchbase