Predictive Analytics Services Intern (Summer 2027)

United States·Delawareentry

AnalyticsData & AI

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Quick Summary

Overview

POSITION SUMMARY This internship focuses on data mining, predictive analytics, and health score development to proactively identify risks and optimize asset performance.

Technical Tools

AnalyticsData & AI

This internship focuses on data mining, predictive analytics, and health score development to proactively identify risks and optimize asset performance. The intern will work with cross-functional teams to analyze telemetry, service history, and environmental data, contributing to the evolution of Vertiv’s predictive platform. Interns typically work closely with experienced engineers, assisting them with ongoing projects, conducting research, and contributing to the development of testing products or systems. The successful candidate will have the chance to apply theoretical knowledge gained in the classroom to real-world engineering challenges, gaining valuable practical skills and insights. Additionally, they will receive mentorship and guidance from senior engineers, helping them to further develop their technical abilities and professional network within the field of engineering.

Responsibilities

~1 min read

→May include analysis, development, and testing, writing software requirements, software testing, solution, tool development and product/program support.
→Must have an eagerness to grow personally and professionally. This program is for individuals with high learning agility and willingness to adapt and develop continuously, who aim at consistently performing in a variety of settings and circumstances.
→Collaborate with others to foster effective teamwork by linking own responsibilities to the team’s goals and needs – have a passion for new information, knowledge, and experiences.
→Manage time and resources to ensure that work is completed efficiently.
→Ensure effective and efficient completion of projects by planning and implementing courses of action with other functions and key stakeholders.
→Perform other essential and related peripheral duties as may be assigned.

Requirements

~1 min read

Currently pursuing a degree in Engineering (Mechanical, Electrical, Industrial, Systems) or in Data Science, or directly related degree preferred
Excellent written and verbal communication skills
Demonstrated work ethic and detail-orientation
Strong analytical and critical thinking skills
Ability and willingness to learn in a fast-paced environment and produce high-quality work
Collaboration and teamwork.