Machine Learning Intern - Kiewit Data Services (Summer 2027)

Location: Omaha, NE, US

Machine Learning Intern - Kiewit Data Services (Summer 2027)

Location

Omaha, NE, US

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Requisition ID: 183070

Job Level: Internship

Home District/Group: DHO Kiewit Data Services

Department: Data Services

Market: Corporate Home Office

Employment Type: Full Time Temporary

Position Overview

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.

District Overview

Kiewit Data Services helps teams across Kiewit collect, organize, and use the data behind better project decisions. Our 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 our office at 12312 Port Grace Blvd, La Vista, NE 68128. It is not a remote or hybrid opportunity.

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.

Qualifications

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.

Experience building software is valued, particularly experience with Python. We also value candidates who use AI tools thoughtfully in their development work.

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.

Prior internship experience is preferred but not required.

Commitment to safety, ethics, and high-quality work.

Other Requirements

Regular, reliable attendance

Work productively and meet deadlines timely

Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.

Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.

Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.

We offer our fulltime staff employees a comprehensive benefits package that’s among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.

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