Remote job description
Preferred Qualifications and Experience
Currently enrolled in a four-year accredited degree program and be eligible to return to the program upon completion of the placement; select roles open to Masters candidates. Currently pursuing a degree in Computer Science, AI, Software Engineering, or related technical field. Strong Python, with experience of core programming skills, data structures, functions, classes, data and machine learning libraries. Experience of engineering practices and communication. Familiar with Git, version control workflows, and reproducible experiments (notebooks, environment management). Experience with LLMs and agentic skills. Can call LLM APIs, write effective prompts, and build a simple tool-using or retrieval-augmented (RAG) agent, with a basic understanding of LLM limitations such as context windows and hallucination. Strong analytical skills using tools such as Excel, Power BI.
Location & Eligibility
Dun & Bradstreet is based in Sandyford, Dublin, operating a hybrid work model - In office 2 days (Tuesday, Wednesday or Thursday) and work from home 3 days (including Monday and Friday). 2027 Placement candidates for our Technology team should have the ability to work in our Dublin office location. Dun & Bradstreet can only consider 2027 Placement candidates who are permanently eligible to work in Ireland.
