Summer - Engineering Operations Intern

PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium-, and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates.

PACCAR also designs and manufactures advanced diesel engines, provides financial services and information technology, and distributes truck parts related to its principal business.

Kenworth Truck Company, founded in 1923, is the manufacturer of The World’s Best® heavy and medium duty trucks. With an excellent heritage of quality, innovation and technology, Kenworth has played an essential role in the development of trucks that are more fuel efficient, productive, and economical to operate. Today, Kenworth is leading transportation innovation with the introduction of battery-electric vehicles, exploration of fuel cell electric powertrains, and autonomous driving systems.

Kenworth is committed to fostering an environment of diversity, equality and inclusivity in the workplace.

We are seeking a motivated intern with a strong interest in Artificial Intelligence (AI) and Machine Learning (ML) to join the Engineering Business Insights team. This role will support the development and deployment of intelligent systems by assisting in data preparation, model development, and performance evaluation. The AI/ML intern will gain hands‑on experience with real‑world datasets and contribute to projects that drive innovation in predictive analytics, automation, and decision intelligence.

This position is ideal for someone passionate about applying data science techniques to solve complex business problems.

Internships are scheduled to begin May or June 2027

• Support data scientists and engineers in developing, training, and deploying AI/ML models
• Prepare structured and unstructured data for model training and evaluation
• Perform exploratory data analysis to uncover patterns and insights
• Implement and evaluate basic ML algorithms using standard metrics
• Build dashboards and visualizations to communicate insights
• Document workflows, assumptions, and results for reproducibility
• Contribute ideas during brainstorming sessions on AI/ML applications
• Stay current on AI/ML trends and suggest improvements
• Translate business requirements into data-driven solutions
• Manage time effectively and maintain high attention to detail
• Collaborate across teams to meet project goals

• Enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Statistics, Engineering, or related field
• Basic understanding of ML concepts and algorithms (e.g., regression, classification, clustering, evaluation metrics)
• Proficient in Python or R, with experience using libraries like scikit-learn, pandas, and Num Py
• Familiar with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
• Exposure to cloud platforms (AWS, Azure, GCP) and version control (Git) is a plus
• Strong analytical and problem-solving skills with attention to detail
• Able to work independently and collaboratively in a team
• Clear verbal and written communication skills
• Eager to learn and adapt in a fast-paced environment

Currently enrolled in an undergraduate or graduate program pursuing a degree in one of the following disciplines:
Mechanical Engineering.

• Junior or senior standing preferred

• Competitive salary and 401k with up to a 5% company match
• Medical, dental, and vision plans for you and your family
• Sick Leave
• Flexi…