AI & Data Analytics Intern - Supply Resilience 2027 internship
Company: Motorola Solutions, Inc. Location: Greater Chicago Area, US Employment Type: Internship Date Posted: 09/14/2026 Job Categories:
Computers, Software, Education, Purchasing, Logistics, Research & Development
Job Description
AI & Data Analytics Intern - Supply Resilience 2027 internship
Company Overview
At Motorola Solutions, we believe that everything starts with our people. Were a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration thats critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
Seeking an innovative, data-driven AI & Data Analytics Intern to lead the development of an intelligent, predictive supply chain risk assessment tool. In this role, you will leverage internal enterprise data, external market intelligence, and advanced machine learning models to build an AI solution capable of forecasting supply chain disruptions before they impact operations.
Job Description
Are you ready to build data-driven solutions that protect and strengthen global supply chains? As the AI & Data Analytics Intern - Supply Resilience, you will integrate internal metricssuch as lead times, supplier performance, and inventory levelswith external market data, including geopolitical risks, weather events, commodity prices, and trade tariffs. In this hands-on role, you will design and validate predictive machine learning models (such as risk scoring, time-series forecasting, and anomaly detection) to flag supply bottlenecks and vendor risks before they occur. Using tools like Python/R and Power BI or Tableau, you will transform model outputs into actionable dashboards for supply chain planners and communicate key insights to business stakeholders.
AI/ML Model Development: Design, train, and validate predictive algorithms (e.g., risk scoring, time-series forecasting, anomaly detection) to flag potential supply bottlenecks and vendor risks.
Tool & Interface Creation: Build a functional prototype/dashboard or integrate model outputs into an actionable tool for supply chain planners.
Market Research & Feature Engineering: Analyze macro-market trends to engineer features that improve model accuracy and early-warning alerts.
Documentation & Communication: Present model logic, accuracy benchmarks, and actionable insights to key stakeholders and operations teams.
Additional Qualified Skills:
Power BI, or Tableau for user interface creation.
Python or R, Scikit-learn, TensorFlow or PyTorch, Pandas, NumPy
Analytical problem-solving, independent initiative, ability to translate complex data into business insights
Desired: Understanding of logistics, lead times, procurement dynamics, and risk factors
Basic Requirements
Currently pursuing a Bachelors degree in Supply Chain Management, Logistics, Business Analytics, Operations, or a related field
Graduation date not later then Dec.2029
Travel Requirements
None
Relocation Provided
None
Position Type
Intern
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If youd like to join our team but feel that you dont quite meet all of the preferred skills, wed still love to hear why you think youd be a great addition to our team.
Were committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.