Applied Data Science Intern – Generative AI

Ricoh Canada Production Print is an integrated solutions provider that empowers digital workplaces through innovative technology and services. They are looking for a Data Science Intern to focus on Generative AI during Summer 2026, where the intern will work with large datasets and apply advanced AI techniques to contribute solutions with real-world impact.

Responsibilities

• Develop, fine-tune, and evaluate generative AI and large language models using AWS frameworks and platforms
• Analyze multimodal datasets (machine telemetry, service data, documentation, unstructured text, and internal knowledge systems) to derive insights and support decision-making
• Design retrieval-augmented generation (RAG), summarization, and recommendation solutions that connect across multiple data sources
• Apply Model Context Protocol (MCP) and design agentic workflows that allow LLMs to interact seamlessly with diverse enterprise systems and autonomously perform multi-step tasks
• Collaborate with cross-functional teams to ensure models can be deployed in cloud-based workflows
• Present research findings, prototypes, and results to technical and business stakeholders

Skills

• Student must be currently enrolled in an accredited college or university or enrolled to continue their education in an accredited graduate program
• Students must have a cumulative GPA of 3.0 or higher
• Students are to successfully complete all required screenings prior to hire
• Currently enrolled student in Data Science, Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a related field
• Strong background in machine learning, natural language processing, and/or deep learning
• Proficiency in Python and modern ML/AI frameworks
• Familiarity with cloud-based machine learning platforms (AWS preferred)
• Strong analytical and problem-solving skills
• Master's-level student (PhD candidates also welcome)
• Prior research or project experience with generative AI
• Experience working with large, heterogeneous datasets
• Exposure to data engineering concepts (ETL, feature engineering, pipeline development)
• Knowledge of agentic AI systems or standards such as Model Context Protocol (MCP)
• Publication record, open-source contributions, or demonstrable project portfolio

Education Requirements

• Working towards - B.S., M.S., or PhD. degree in Computer Science, Computer Engineering, or a related field
• Master’s-level student (PhD candidates also welcome)

Benefits

• Choose from a broad selection of medical, dental, life, and disability insurance options.
• Contribute to your financial security with Retirement Savings Plan (401K), Health Savings Account (HSA), and Flexible Spending Account (FSA) investments.
• Augment your education with team member tuition assistance programs.
• Enjoy paid vacation time and paid holidays annually
• Tap into many other benefits to enhance your health, wellness, and ongoing personal and professional development.

Company Overview