Applied Data & Technology Intern

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 Business Data Analytics Team within the Continuous Improvement supports data analytics, automation, and artificial intelligence initiatives across Daimler Truck North America. The team partners with business units to enable data-driven decision making, improve processes, and build scalable analytics, automation and AI solutions. As an intern supporting artificial intelligence and knowledge systems, this role will focus on developing and enhancing tools that make information more accessible and actionable through modern technologies such as generative artificial intelligence.

The internship provides exposure to commercial truck development operations while contributing to building a culture of continuous improvement, data literacy, and innovation across the organization.

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.

Benefits include:

• Professional development and networking events, including resume reviews/mock interviews
• Housing and transportation stipend
• Employee resource groups
• Event ticket offering (based on corporate availability)
• Company social events

• Support the development of artificial intelligence-powered knowledge and automation solutions by designing, testing, and improving tools that enable employees to efficiently search, access, and interact with organizational data, documentation, and best practices.
• Assist in building and enhancing generative artificial intelligence applications that summarize information, answer user questions, and automate internal Continuous Improvement processes to improve efficiency, consistency, and decision making.
• Collaborate with business partners to understand information needs and operational workflows, translating those needs into structured data solutions using the Snowflake database to enable scalable, reliable, and accessible data management.
• Contribute to documentation, training materials, and adoption efforts to ensure artificial intelligence, analytics, and automation solutions are sustainable, user-friendly, and effectively adopted across the organization.
• Lead and support efforts to foster an inclusive and welcoming workplace culture where everyone belongs

• Must be currently enrolled in a Bachelor’s program or higher from an accredited college/university OR have recently graduated within 1 year of the position start date (May/June)
  • Must be pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Information Systems or Information Technology, Business Intelligence, Analytics or Data Analytics, or related discipline.
• Experience with programming in Python, including working with data analysis libraries and building scripts or applications
• Hands-on experience developing artificial intelligence or machine learning solutions, such as predictive models, natural language…