AI & Decision Science Intern

Notre Dame; Deerfield Beach (FL); On-site; USD 40,000 - 50,000; Full time

Job summary

Notre Dame in Deerfield Beach, FL is seeking a motivated student to join our analytics team as an intern-leaning data analyst. You will evaluate business opportunities, extract and explore datasets, and develop models for forecasting and optimization.

You'll use Python, Pandas, NumPy, and SQL, collaborate with data scientists and IT, and document results for non-technical stakeholders. A strong foundation in CS/Math and communication is essential.

Qualifications

• Currently enrolled full-time in a bachelor’s, master’s, or other degree program with at least one semester completed.
• Field of study in Computer Science, Statistics, Mathematics, or related quantitative disciplines.
• Working knowledge of Python and SQL (joins, aggregations, filtering).
• Understanding of statistics, predictive analytics, and ML concepts; hands-on with ML frameworks like Scikit-learn preferred.

Responsibilities

• Evaluate business opportunities and data to identify advanced analytics use cases and recommend approaches.
• Extract, clean, explore, and analyze complex datasets using SQL, Python, and data mining techniques.
• Design, develop, test, and refine statistical and ML models for forecasting, optimization, and logistics.
• Support model development and deployment using Azure AI Foundry, Azure ML, Azure SQL, and Azure Synapse Analytics.
• Evaluate model performance with relevant metrics and document results and limitations.
• Collaborate with data scientists, business partners, and IT to translate needs into analytical solutions.
• Write clean, reproducible code, maintain documentation, and communicate progress to stakeholders.

Skills

Python

SQL

Pandas

NumPy

Machine learning basics

Communication

Time-series forecasting

Education

Pursuing degree in Computer Science/Statistics/Mathematics

Tools

Python

Pandas

NumPy

SQL

Azure

Azure Machine Learning

Azure Synapse Analytics

Fabric (Microsoft)

Git/GitHub

Job description

Your Role

Here’s what you will be doing:

• Evaluate business opportunities and data to identify advanced analytics use cases and recommend technical approaches.
• Extract, clean, explore, and analyze complex datasets using SQL, Python, statistical analysis, and data mining techniques.
• 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, documenting results and limitations.
• Collaborate with data scientists, business partners, and IT to translate business needs into analytical solutions and support AI tool development.
• Write clean, reproducible code, maintain technical documentation, and communicate project progress and findings to technical and non-technical stakeholders.

About You

The company is looking for candidates who meet the following:

• Currently enrolled full-time in a bachelor’s, master’s, or other degree program at an accredited college or university, with at least one semester completed.
• Field of study in Computer Science, Statistics, Mathematics, or related quantitative disciplines.
• Working knowledge of Python (including Pandas and NumPy) and SQL (joins, aggregations, filtering).
• Understanding of statistical analysis, predictive and prescriptive analytics, and core machine learning concepts such as regression, classification, overfitting, train/test splits, and model evaluation; hands-on experience with machine learning frameworks like Scikit-learn preferred.
• Preferred experience or exposure to AI, time-series forecasting, optimization, experimental design, Git/GitHub, Microsoft Azure or Fabric, data visualization tools, and LLM-based tools such as RAG or AI coding assistants.
• Strong problem-solving and communication skills, with the ability to learn new tools quickly and explain technical concepts clearly to non-technical audiences.

Compensation & Benefits

• Full-time position with flexible working arrangements depending on business needs.