Data & AI Co-Op

Rich Products CorporationBuffalo, NY
1d$24 - $32

About The Position

We are seeking a motivated and curious Data + AI Co-Op to join our Enterprise Data & AI team. This full-time co-op opportunity is designed for a college student looking to gain hands-on experience working with modern data platforms, analytics, and emerging AI capabilities in a real-world enterprise environment. You will work alongside data engineers, analysts, and AI practitioners to support the development of data pipelines, analytics solutions, and AI-powered solutions that drive business value across the organization.Key Accountabilities and OutcomesWhat You'll Do:

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in: Computer Science Data Science Information Systems Engineering or a related field
  • Basic understanding of SQL and/or Python
  • Familiarity with data concepts (tables, joins, basic transformations)
  • Strong problem-solving mindset and willingness to learn
  • Ability to work full-time (40 hours/week) during the co-op period

Nice To Haves

  • Exposure to tools like Databricks, Power BI, or similar platforms
  • Experience with data analysis, visualization, or small projects
  • Interest in AI, machine learning, or generative AI
  • Experience working with APIs or handling JSON data
  • Experience working with Git / Code Repositories & IDEs such as VSCode

Responsibilities

  • Assist in building and maintaining data pipelines that ingest, transform, and prepare data for analytics and AI use cases
  • Support data profiling and quality checks to ensure trusted and reliable datasets
  • Contribute to analytics and reporting solutions (e.g., dashboards, datasets, basic visualizations)
  • Help prototype Agentic AI and Generative AI use cases, including design, testing, and evaluation
  • Work with structured and unstructured data (e.g., tables, documents, text)
  • Collaborate with team members to understand business problems and translate them into data-driven solutions
  • Document processes, workflows, and learnings to support team knowledge sharing

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What This Job Offers

Job Type

Full-time

Career Level

Intern

Number of Employees

5,001-10,000 employees

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