AI & Decision Science Intern

JM&A Group • Deerfield Beach, FL

4d

About The Position

The JM Family College Internship Program gives college students meaningful work experiences connected to their programs of study. Interns contribute to their teams, learn about JM Family’s companies and culture, and develop new skills through learning opportunities and networking events. The ideal candidate will be available to work full-time during the Summer Internship Program from May 24, 2027, through July 30, 2027.

As an AI & Decision Science Intern on SET’s AI & Advanced Analytics team, you will work with experienced data scientists to apply statistics, machine learning, and advanced analytics to business challenges, including demand forecasting, optimization, and logistics planning. You will own a scoped project with mentorship, gain hands-on experience moving models from prototype to production, and present findings to the team and business stakeholders. Your work will help develop and deploy machine learning models and AI solutions for business opportunities in areas such as fixed operations, marketing, fleet, sales planning, distribution, and inventory.

Interns gain hands-on experience and contribute to department initiatives while learning about JM Family’s culture and its core values: Consideration, Cooperation, Communication, Innovation, and Accountability. The position is described as full-time with flexible working arrangements depending on business need. Work arrangements may be revised based on associate performance, business need, and manager discretion.

Requirements

• Be actively enrolled in a bachelor’s, master’s, or other degree-seeking program at an accredited college or university, with a focus in a relevant field; candidates in related fields will also be considered.
• Have completed at least one semester of coursework.
• Relevant fields include Computer Science, Statistics, Mathematics, or another quantitative field.
• Working knowledge of Python, including common data libraries such as Pandas and NumPy.
• SQL skills, including joins, aggregations, and filtering.
• Understanding of statistical analysis, predictive and prescriptive analytics, and core machine learning concepts, including regression, classification, overfitting, train/test splits, and model evaluation.
• Strong problem-solving and communication skills, ability to learn new tools quickly, and ability to clearly explain technical concepts and analytical findings to non-technical audiences.
• Availability to work full-time during the Summer Internship Program, May 24, 2027, through July 30, 2027.

Nice To Haves

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

Responsibilities

• Evaluate business opportunities and underlying data to identify 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 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 with 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, maintain clear technical documentation, and communicate project progress and findings to technical and non-technical stakeholders.
• Own a scoped project with mentorship and present findings to the team and business stakeholders.

What This Job Offers

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