AI & Data Analytics Intern: Predictive 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

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