Preferred Qualifications and Experience
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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
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Currently pursuing a degree in Computer Science, AI, Software Engineering, or related technical field
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Strong Python, with experience of core programming skills, data structures, functions, classes, data and machine learning libraries.
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Experience of engineering practices and communication. Familiar with Git, version control workflows, and reproducible experiments (notebooks, environment management)
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Strong analytical skills using tools such as Excel, Power BI
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Desirable but not essential - 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
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.
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