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.

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.
• Support bilingual dataset processing and merging into unified knowledge articles.
• 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.
• Ability to handle bilingual datasets (English/French) and ensure semantic consistency.
• 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.