AI & Decision Science Intern

JM Family • Deerfield Beach, FL

2d

About The Position

The JM Family College Internship Program provides college students with meaningful work experience related to their studies, opportunities to contribute to their teams, and learning and networking experiences. The AI & Decision Science Intern will join SET’s AI & Advanced Analytics team and work alongside experienced data scientists to apply statistics, machine learning, and advanced analytics to business challenges such as demand forecasting, optimization, and logistics planning. The intern will own a scoped project with mentorship, gain hands-on experience with the progression of models from prototype to production, and present findings to the team and business stakeholders. Their work will contribute to developing and deploying machine learning models and AI solutions for business opportunities across fixed operations, marketing, fleet, sales planning, distribution, and inventory.

The ideal candidate is available to work full-time during the Summer Internship Program, from May 24, 2027, through July 30, 2027. Working arrangements are flexible depending on business needs and may be revised based on associate performance, business needs, and manager discretion. This job description may not include every assigned duty, responsibility, or aspect of the position and may be amended at JM Family’s discretion.

Requirements

• Be actively enrolled in a bachelor’s, master’s, or other degree-seeking program at an accredited college or university, focused in a relevant field; candidates in related fields will also be considered.
• Have completed at least one semester of coursework.
• Have a focus in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Have working knowledge of Python, including common data libraries such as Pandas and NumPy.
• Have SQL skills, including joins, aggregations, and filtering.
• Understand statistical analysis, predictive and prescriptive analytics, and core machine learning concepts such as regression, classification, overfitting, train/test splits, and model evaluation.
• Have strong problem-solving and communication skills, the ability to learn new tools quickly, and the ability to explain technical concepts and analytical findings clearly to non-technical audiences.

Nice To Haves

• Hands-on experience with a machine learning framework such as Scikit-learn.
• Experience or exposure to AI, time-series forecasting, optimization, or experimental design.
• Experience or exposure to Git/GitHub, Microsoft Azure or Fabric, or data visualization tools.
• Experience or exposure to LLM-based tools such as RAG or AI coding assistants.

Responsibilities

• Evaluate business opportunities and underlying data to identify potential advanced analytics use cases, assess value propositions, and recommend technical approaches.
• Extract, clean, explore, and analyze complex datasets using SQL, Python, statistical analysis, and data mining techniques to identify trends, patterns, and anomalies.
• Design, develop, test, and refine statistical and machine learning models for business challenges such as demand forecasting, optimization, and logistics planning.
• Support model development and deployment using Microsoft technologies, including Azure AI Foundry, Azure Machine Learning, Azure SQL Managed Instance, and Azure Synapse Analytics.
• Evaluate model performance using appropriate metrics and validation methods, including holdout testing and cross-validation, and document results and limitations.
• Collaborate with data scientists, business partners, and IT to understand business needs, translate them into analytical solutions, and support AI tools for end-user consumption.
• Write clean, reproducible code and maintain clear technical documentation.
• Communicate project progress and final findings to technical and non-technical stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed