Data Scientist

Fujitsu; Ottawa; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading technology company is looking for a full-time Data Scientist to support knowledge management modernization projects. You will utilize AI/ML techniques for semantic enrichment and content migration, ensuring compliance with federal standards. The ideal candidate holds a Master's degree and has strong skills in Python and semantic search techniques. This role involves collaboration in a hybrid work environment located in Canada, Ontario, Ottawa.

Qualifications

• Must hold a Master's degree in Data Science, Artificial Intelligence, Machine Learning, or Computational Linguistics.
• Fluency in Python and use of major ML libraries.
• Work experience in semantic search and related AI techniques.

Responsibilities

• Apply AI/ML/NLP techniques for content enrichment.
• Design knowledge graphs for KM frameworks.
• Develop models for document classification.

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

Knowledge of DITA XML, XSLT, and Document-as-Code principles

Understanding of responsible AI practices including bias mitigation and explainability

Education

Master’s degree in relevant fields

Job description

Fujitsu Canada is seeking a full-time, permanent Data Scientistto 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 theGatineau 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.