Fujitsu Canada is seeking a full-time, permanent Data Scientist to support enterprise-scale Knowledge Management (KM) modernization projects for Employment and Social Development Canada (ESDC). This role focuses on AI/ML/NLP-driven transformation, semantic enrichment, and intelligent content migration aligned with federal compliance and innovation standards. Top Skills • Master’s degree in Data Science, Artificial Intelligence, Machine Learning, or Computational Linguistics. • Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers. • Experience with semantic search, topic modeling, entity recognition, and contradiction detection. • Familiarity with RDF, SPARQL, and ontology design for knowledge graph development. • Experience with Azure DevOps, Git, and CI/CD pipelines for managing AI workflows. • Knowledge of DITA XML, XSLT, and Document-as-Code principles. • Understanding of responsible AI practices including bias mitigation and explainability. Responsibilities • Apply AI/ML/NLP techniques to support semantic search, contradiction detection, and content enrichment. • Design and implement knowledge graphs and ontology models for scalable KM frameworks. • Develop and deploy supervised and unsupervised learning models for metadata validation and document classification. • Integrate Azure Cognitive Services and other AI tools for automated tagging, summarization, and quality assurance. • Collaborate with architects, linguists, and content authors to ensure semantic consistency and accuracy. • Contribute to iterative development cycles, rapid prototyping, and continuous integration. • Participate in the design of scalable, API-accessible KM ecosystems using DevOps practices. Mandatory Skills • Master’s degree in Data Science, Artificial Intelligence, Machine Learning, or Computational Linguistics. • Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers. • Experience with semantic search, topic modeling, entity recognition, and contradiction detection. • Familiarity with RDF, SPARQL, and ontology design for knowledge graph development. • Experience with Azure DevOps, Git, and CI/CD pipelines for managing AI workflows. • Knowledge of DITA XML, XSLT, and Document-as-Code principles. • Understanding of responsible AI practices including bias mitigation and explainability. Nice to Have Skills • Experience with FAISS, Pinecone, or similar tools for semantic clustering and search. • Familiarity with FrameNet and other linguistic resources for semantic enrichment. • Exposure to LLMs (e.g., GPT-4, Claude) for content rewriting and summarization. • Experience with post-migration analytics using Power BI, Tableau, or Quicksight. • Prior work in regulated or public sector environments leveraging AI for KM modernization. General Requirements • Must reside in the Gatineau area in Quebec. • Hybrid work arrangement — onsite at least three days per week, with additional days as needed. • Eligibility for Reliability Status security clearance; minimum five years’ residency in Canada. • Strong organizational, communication, and problem-solving skills. • Ability to work independently and collaboratively in a fast-paced environment. • Commitment to quality, continuous learning, and emerging technologies.