AI & Data Analytics Co-op/Intern

Position Type: Co-op / Internship (Graduate-level, semester or summer term)

Location: [On-site - Houston]

Duration & Schedule: 10-12 week summer internship OR 4-8 month co-op aligned to Fall, Spring, or Summer academic terms; full-time (40 hours per week).

Key Responsibilities:


* Engage with stakeholders across all levels of the organization to map end-to-end workflows for Sales, Customer Service, and Supply Chain functions, and translate business needs into well-scoped analytics or automation problem statements.


* Collaborate within cross-functional teams to identify process bottlenecks and propose intelligent automation opportunities, prioritizing solutions based on business impact, feasibility, and time-to-value.


* Leverage AI tools such as Microsoft Copilot and Claude to accelerate analysis, prototyping, and solution development, while applying sound judgment about when AI assistance is appropriate.


* Contribute to the design, development, and deployment of internal AI chatbots and autonomous agents within the Microsoft Azure ecosystem (Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform) to improve productivity and service levels.


* Build evaluation datasets, design test cases, and measure the quality, accuracy, and safety of deployed AI agents.


* Support adoption through training, documentation, and change-management support.


* Document architectures, workflows, prompts, and lessons learned so that work is reproducible and transferable.

Required Qualifications and Experience:


* Currently pursuing a Master's degree (or in the final year of an undergraduate program transitioning to graduate study) in Information Systems, Computer Science, Data Analytics, Data Science, Business Analytics, Industrial Engineering, or a related field.


* Foundational programming skills in Python, including familiarity with libraries such as pandas, NumPy, and at least one visualization or ML library.


* Working knowledge of SQL - able to write joins, aggregations, and window functions against a relational database.


* Conceptual understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).


* Strong analytical and problem-solving skills with a business-oriented mindset; able to frame ambiguous problems and structure an approach.


* Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications and Experience:


* Hands-on experience with Power BI (DAX, Power Query) or another enterprise BI tool.


* Exposure to the Microsoft Azure AI stack - Azure AI Foundry, Azure OpenAI, Azure AI Search, or Cognitive Services.


* Experience building automations with Power Automate, Copilot Studio, or similar low-code platforms.


* Familiarity with version control (Git), Jupyter notebooks, and basic software engineering hygiene.


* Coursework, projects...