Machine Learning Intern - Kiewit Data Services (Summer 2027)

Kiewit • Papillion, NE

1d • Onsite

About The Position

Join Kiewit Data Services for a summer internship applying machine learning to construction challenges. You’ll work with a team building AI-assisted workflow automations, improving project estimates, and developing models and applications that use data from ground robots, drones, fixed cameras, and connected vehicles. Projects this summer are expected to include financial and schedule estimation, along with forward-looking modeling for robotics and instrumented job sites. You’ll have the chance to work with real operational data and help turn promising ideas into tools that project teams can use.

Kiewit Data Services helps teams across Kiewit collect, organize, and use the data behind better project decisions. Its machine learning group builds on that foundation to improve estimating, identify financial and schedule risks earlier, and draw useful insights from equipment and job-site activity. The goal is to help Kiewit plan work more accurately and reduce losses on projects.

This position is based at the office at 12312 Port Grace Blvd, La Vista, NE 68128. It is not a remote or hybrid opportunity. The internship is full-time and temporary, with availability required approximately May through August.

Requirements

• Currently pursuing an undergraduate or graduate degree in Machine Learning, Robotics, Autonomy, Applied Mathematics, Data Analytics, a relevant Engineering field, or a related discipline.
• Available to work full-time during the summer, approximately May through August.
• Strong analytical and problem-solving skills, with an interest in applying machine learning to real-world data.
• Strong written and verbal communication skills and the ability to work well with a team.
• Initiative, attention to detail, and the ability to work independently when needed.
• Commitment to safety, ethics, and high-quality work.
• Regular, reliable attendance; ability to meet deadlines and communicate professionally; ability to follow oral and written instructions and perform work safely and effectively.
• Ability to work during normal operating hours and work overtime and weekends as required.

Nice To Haves

• Experience building software, particularly with Python.
• Thoughtful use of AI tools in development work.
• Prior internship experience; preferred but not required.

Responsibilities

• Work with machine learning specialists, engineers, and project teams to understand needs and develop practical solutions.
• Help prepare and assess data used in machine learning models and estimation tools.
• Contribute to AI-assisted workflow automations and models that support financial and schedule estimates.
• Explore data from robots, drones, cameras, and connected vehicles to identify patterns and support forward-looking models.
• Investigate issues, test approaches, and explain findings to technical and nontechnical teammates.
• Maintain regular, reliable attendance; work productively and meet deadlines; communicate and interact professionally; follow instructions and safety policies; and complete work within deadlines, including overtime and weekends as required.

Benefits

• Top-tier medical, dental, and vision plans covering eligible employees and dependents.
• Voluntary wellness and employee assistance programs.
• Life insurance and disability plans.
• Retirement plans with matching.
• Generous paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed