Digital Services Engineering Intern
About The Position
The Digital Services Engineering Intern will support HMH Services with AI development, engineering analysis, service-tool development, data analytics, and process improvement. The Digital Services Engineering Intern will be responsible for: Support for AI-enabled initiatives, including data preparation, output review, and feedback tracking Engineering analysis of service performance, equipment issues, and lifecycle opportunities Development and testing of digital tools, dashboards, analytics, and automated workflows Structured problem solving, recurring-issue analysis, and service-process improvement Collaboration with Product & Technology, engineering, operations, Service Centers, and field teams The Intern also will learn about and deliver the following: Service tools, automation, analytics, and AI-enabled engineering workflows Service performance analysis and improvement prioritization Technical documentation, knowledge capture, standards, and Product & Technology feedback
Requirements
- Must be currently enrolled at the time internship commences and working toward completion of a Bachelor or Graduate degree from an accredited university or college with Engineering, Computer Science, Computational Engineering, or Data Science majors preferred.
- Minimum GPA of 3.0.
- Interest in engineering analysis, industrial services, digital tools, data analytics, automation, AI, or continuous improvement.
- Good interpersonal skills and ability to collaborate across multiple functions.
- Ability to work independently or within a larger team as required by the project.
- Familiarity with Microsoft Office products, including Outlook, Teams, Word, Excel, and PowerPoint.
- Excellent analytical, problem-solving, written, and verbal communication skills.
- Strong work ethic and attention to detail.
- Must be legally authorized to work in the United States on a full-time basis, now or in the future, without employer sponsorship for employment visa status.
Responsibilities
- Support for AI-enabled initiatives, including data preparation, output review, and feedback tracking
- Engineering analysis of service performance, equipment issues, and lifecycle opportunities
- Development and testing of digital tools, dashboards, analytics, and automated workflows
- Structured problem solving, recurring-issue analysis, and service-process improvement
- Collaboration with Product & Technology, engineering, operations, Service Centers, and field teams
- Learn about and deliver service tools, automation, analytics, and AI-enabled engineering workflows
- Learn about and deliver service performance analysis and improvement prioritization
- Learn about and deliver technical documentation, knowledge capture, standards, and Product & Technology feedback
Benefits
- Competitive pay
- Benefits
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
