AI & Data Analytics Intern (Supply Resilience)

Motorola Solutions; Elgin (IL); On-site; USD 33,000 - 44,000; Full time

Benefits offered by this job

Flexible work models

Paid time off

Paid parental and family leave

Health care benefits

Global wellness resources

Employee assistance programs

Rotation programs

Mentor relationships

Learning and development opportunities

Retirement benefits

Employee bonuses

Stock grants & employee stock purchase

Stock purchase plans

Job summary

Motorola Solutions is seeking an AI & Data Analytics Intern to develop a predictive supply chain risk tool. You will combine internal metrics with external market data to build models that forecast disruptions before they impact operations.

Using Python/R and BI tools, you will translate model outputs into dashboards for planners and present insights to stakeholders. The role emphasizes data integration, feature engineering, and communicating findings, with flexible work options and learning

Qualifications

• Must be pursuing a bachelor’s degree in a relevant field.
• Strong analytical and problem-solving skills.
• Ability to translate data into actionable insights for stakeholders.

Responsibilities

• Lead development of an AI-driven predictive supply chain risk tool.
• Integrate internal metrics with external market data for modeling.
• Design, train, and validate predictive models (risk scoring, forecasting).
• Create prototypes/dashboards for supply chain planners.
• Communicate model results and insights to stakeholders.

Skills

Analytical problem-solving

Independent initiative

Business insights translation

Supply chain understanding

Education

Bachelor's degree in Supply Chain/Analytics

Tools

Python

R

Scikit-learn

TensorFlow/PyTorch

Pandas

NumPy

Power BI

Tableau

Job description

• 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
• 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 metrics—such as lead times, supplier performance, and inventory levels, with 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
• Data Integration & Pipeline Development: Identify, aggregate, and ingest internal supply chain metrics (lead times, supplier performance, inventory levels) alongside external market data (geopolitical risks, weather events, commodity price trends, trade tariffs)
• 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

Benefits

• Flexible work models
• Paid time off
• Paid parental and family leave
• Health care benefits
• Global wellness resources
• Employee assistance programs
• Rotation programs
• Mentor relationships
• Learning and development opportunities
• Retirement benefits
• Employee bonuses
• Stock grants & employee stock purchase plans

Desired

• Understanding of logistics, lead times, procurement dynamics, and risk factors
• Python or R, Scikit-learn, TensorFlow or PyTorch, Pandas, NumPy
• Power BI, or Tableau for user interface creation
• Analytical problem-solving, independent initiative, ability to translate complex data into business insights
• Graduation date not later then Dec.2029
• Currently pursuing a Bachelor’s degree in Supply Chain Management, Logistics, Business Analytics, Operations, or a related field
• If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team