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Daimler Truck North America is offering a Reliability Engineering Internship in Fort Mill, SC. The role focuses on analyzing data, building insights, and improving product reliability and profitability.
You will work with cross-functional teams, develop reports, and apply tools like Tableau/Power BI, SQL, and Python to real datasets in warranty, reliability, and engineering domains.
Interns will gain knowledge and experience through exciting and real-life learning opportunities. Interns must work in accordance with DTNA's core values of passion, respect, integrity and discipline. Internship positions can be located at various DTNA locations across the US. We are looking for high performing and motivated individuals in various areas within DTNA organizations. DTNA internships begin each summer in May or June.
Interns in this role may have the opportunity to transition into a full-time position subject to manager evaluations and business availability.
The Fleet Services Group (FSG) at Daimler Truck North America develops and markets connected services and extended service coverage solutions. These offerings provide customers with digital services and protection against potential losses due to engine and truck breakdowns, enhancing overall customer experience.
The Reliability Engineering Intern will support the team in analyzing data, identifying trends, and contributing to initiatives that improve product quality, reliability, and profitability. This role offers hands‑on experience working with real‑world datasets across warranty, reliability, product, and engineering domains, while gaining exposure to the commercial trucking service market.
The intern will collaborate with cross-functional teams and assist in delivering insights that support decision‑making and continuous improvement efforts.
We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.
Salary placement is determined by your anticipated graduation year and ranges between $21 - $29 per hour.
Must be currently enrolled in a Bachelor's program or higher or recently graduated within 1 year of the position start date (May/June)
Pursing or received a degree in a quantitative field such as Engineering, Science, Statistics, Economics, and Data analytics
Strong oral and written communication skills
Solid Organizational Skills
Creative mindset
Ability to work on individual projects and in a team environment
Comfortable presenting to groups
Knowledge or Experience with:
#LI-RR
This position is open to applicants who can work in (or relocate to) the following location(s)- Fort Mill, SC US. Relocation assistance for this position is available when the selected candidate meets eligibility criteria.
Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.
At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we're building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA's legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future - building a cleaner, safer and more efficient tomorrow for all.
That is what we are working toward - for all who keep the world moving.
This position is not open to Visa sponsorship or to existing Visa holders
Applicants must be legally authorized to work permanently in the country the position is located in at the time of application
Final candidate must successfully com