We are seeking a highly skilled Data Scientist to support enterprise data transformation initiatives focused on AI-enabled data quality, metadata management, and intelligent automation.
Requirements
- Develop AI-powered solutions using Large Language Models (LLMs) for metadata enrichment, semantic classification, summarisation, and data quality automation.
- Design, build, and optimise RAG (Retrieval-Augmented Generation) pipelines using enterprise metadata, profiling outputs, technical documentation, and rule libraries.
- Develop machine learning models for anomaly detection, clustering, entity resolution, predictive analytics, and pattern recognition.
- Build scalable Python and SQL-based pipelines for data profiling, onboarding, monitoring, and AI-assisted recommendations.
- Implement Human-in-the-Loop workflows to validate AI-generated outputs and ensure governance, auditability, and business alignment.
- Collaborate with business, governance, and engineering teams to operationalise AI/ML solutions across enterprise platforms.
- Evaluate model performance, optimise output quality, and continuously improve AI/ML workflows.
- Support deployment, monitoring, and maintenance of production-grade AI and ML solutions.
- Create technical documentation and communicate insights effectively to technical and non-technical stakeholders.
To apply for this job please visit nexthire.breezy.hr.

Follow us on social media