AI Data Scientist

Bilue is a digital consultancy that designs and builds smart, user-friendly technology for some of Australia’s most well-known businesses. From mobile apps to beautifully designed web platforms and digital experiences, we create solutions that drive impact and deliver exceptional customer outcomes. Our culture is people-first and purpose-driven. We’re a down-to-earth, values-led team with offices in Sydney and Melbourne, and a growing presence in Manila. We genuinely enjoy working together, whether we’re solving tough tech problems, brainstorming creative solutions, or grabbing a coffee between meetings. Curiosity is encouraged. Collaboration is second nature. We value excellence, not ego, and back each other to do great work without micromanagement. With low politics and high trust, it’s a place where delivery people, designers, and engineers genuinely connect, and where everyone has a voice, space to grow, and a little fun along the way. The Role AI systems don’t fail because of bad models. They fail because of bad libraries, outdated documents cited as current, knowledge that exists but can’t be found, datasets that are technically present but practically untrustworthy. The AI Data Scientist owns that problem. This is not a traditional data engineering role. It sits at the intersection of data governance, knowledge management, and AI delivery. You will design and maintain the catalogues, metadata schemas, quality frameworks, and lineage structures that every AI system in The Foundry depends on, and you will work directly alongside AI Engineers to connect retrieval systems to the clean, context-aware knowledge stores you’ve built. Think of it this way: the AI Engineer builds the system that searches the library. You build the library. What You'll Do Design and maintain data catalogues for AI projects using platforms such as DataHub, OpenMetadata, Apache Atlas, Collibra, or cloud-native equivalents (AWS Glue Data Catalog, Azure Purview, GCP Dataplex). Define metada