AI & Data Science Intern - Summer with Mentorship

JM Family Enterprises; Deerfield Beach (FL); On-site; USD 25,000 - 39,000; Full time

Job summary

JM Family Enterprises is offering an AI & Decision Science Intern position on the SET’s AI & Advanced Analytics team. You will work with data scientists to apply statistics, machine learning, and analytics to real business challenges, including demand forecasting and logistics planning.

You will own a scoped project with mentorship, learn how models move from prototype to production, and present findings to the team and stakeholders.

Qualifications

• Active enrollment in a bachelor’s, master’s, or other degree-seeking program
• Completed at least one semester of coursework
• Fields of study include Computer Science, Statistics, Mathematics or related quantitative field
• Working knowledge of Python and SQL; Pandas/NumPy
• Familiarity with machine learning concepts and scikit-learn preferred
• Exposure to AI tools like RAG or related tooling is a plus

Responsibilities

• Evaluate business opportunities and data to identify advanced analytics use cases
• Extract, clean, explore, and analyze complex datasets using SQL, Python, and data mining techniques
• Design, develop, test and refine statistical and ML models for business challenges
• Support model deployment using Azure stack and related tools
• Collaborate with data scientists, partners and IT to translate needs into analytical solutions
• Write clean, reproducible code and maintain documentation
• Present findings to technical and non-technical stakeholders

Skills

Python

SQL

Pandas

NumPy

Scikit-learn

Azure

Azure Machine Learning

Azure Synapse

GitHub

Time-series forecasting

Optimization

Data visualization

LLM tools

Education

Bachelor's or master's degree program in CS/Math/Stats

Tools

Azure

Azure Machine Learning

Azure Synapse Analytics

GitHub

Job description

JM Family Enterprises is offering an AI & Decision Science Intern position on the SET’s AI & Advanced Analytics team. You will work with data scientists to apply statistics, machine learning, and analytics to real business challenges, including demand forecasting and logistics planning.

You will own a scoped project with mentorship, learn how models move from prototype to production, and present findings to the team and stakeholders.