Top Benefits
Hybrid work arrangement
About the role
Job Description Fujitsu Canada is seeking a full-time, permanent Data Scientist to support enterprise-scale Knowledge Management (KM) modernization projects. This role focuses on AI/ML/NLP development, semantic enrichment, and data transformation in hybrid environments, contributing to the delivery of intelligent, scalable KM solutions.
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, Pandas, and lxml.
- Experience with supervised, unsupervised, and reinforcement learning models.
- Expertise in NLP techniques including tokenization, entity recognition, topic modeling, and semantic search.
- Experience with knowledge graphs and semantic enrichment.
- Strong understanding of XML structure, namespaces, and DOM manipulation.
- Experience with relational databases (PostgreSQL, Oracle, SQL Server) and normalized schema design.
- Familiarity with Git for version control and collaboration.
- Experience with Azure Cognitive Services and DevOps pipelines.
- Experience in regulated or public sector environments.
Responsibilities
- Design and implement AI/ML models for semantic search, contradiction detection, and content rewriting.
- Build and query knowledge graphs using RDF, SPARQL, and ontology design.
- Develop and optimize XSLT stylesheets and XPath expressions for XML transformation.
- Author and manage structured content using DITA XML and document-as-code principles.
- Design and execute Extract, Transform, Load (ETL) workflows using Python and tools like Talend or Apache NiFi.
- Conduct data lineage and metadata management to ensure traceability and integrity.
- Collaborate with cross-functional teams including architects, linguists, and content authors.
- Support iterative development cycles, rapid prototyping, and continuous integration.
- Integrate AI frameworks with SharePoint Online, Microsoft 365, and workflow automation tools.
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, Pandas, and lxml.
- Experience with supervised, unsupervised, and reinforcement learning models.
- Expertise in NLP techniques including tokenization, entity recognition, topic modeling, and semantic search.
- Experience with knowledge graphs and semantic enrichment.
- Strong understanding of XML structure, namespaces, and DOM manipulation.
- Experience with relational databases (PostgreSQL, Oracle, SQL Server) and normalized schema design.
- Familiarity with Git for version control and collaboration.
- Experience with Azure Cognitive Services and DevOps pipelines.
- Experience in regulated or public sector environments.
Nice to Have Skills
- Familiarity with LLMs (e.g., GPT-4, Claude) for content generation and summarization.
- Experience with FAISS or Pinecone for semantic clustering.
- Exposure to FrameNet and other linguistic resources for semantic understanding.
- Experience with shell scripting, Typescript, Scala, or R.
- Use of Power BI, Tableau, or Quicksight for post-migration analytics.
- Understanding of bias mitigation, explainability, and responsible AI practices.
- Experience with contradiction detection and semantic validation.
- Familiarity with document chunking for retrieval-augmented generation (RAG).
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.
- Strong organizational and time management skills.
- Commitment to quality and attention to detail.
- Ability to work independently and collaboratively.
- Willingness to learn new tools and technologies.
- Eligibility for Reliability Security status; minimum five years’ residency in Canada.
- Experience working in a multicultural or multilingual environment.
- Familiarity with agile or other modern project management methodologies.
- Previous experience in a remote or hybrid work setting.
Top Benefits
Hybrid work arrangement
About the role
Job Description Fujitsu Canada is seeking a full-time, permanent Data Scientist to support enterprise-scale Knowledge Management (KM) modernization projects. This role focuses on AI/ML/NLP development, semantic enrichment, and data transformation in hybrid environments, contributing to the delivery of intelligent, scalable KM solutions.
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, Pandas, and lxml.
- Experience with supervised, unsupervised, and reinforcement learning models.
- Expertise in NLP techniques including tokenization, entity recognition, topic modeling, and semantic search.
- Experience with knowledge graphs and semantic enrichment.
- Strong understanding of XML structure, namespaces, and DOM manipulation.
- Experience with relational databases (PostgreSQL, Oracle, SQL Server) and normalized schema design.
- Familiarity with Git for version control and collaboration.
- Experience with Azure Cognitive Services and DevOps pipelines.
- Experience in regulated or public sector environments.
Responsibilities
- Design and implement AI/ML models for semantic search, contradiction detection, and content rewriting.
- Build and query knowledge graphs using RDF, SPARQL, and ontology design.
- Develop and optimize XSLT stylesheets and XPath expressions for XML transformation.
- Author and manage structured content using DITA XML and document-as-code principles.
- Design and execute Extract, Transform, Load (ETL) workflows using Python and tools like Talend or Apache NiFi.
- Conduct data lineage and metadata management to ensure traceability and integrity.
- Collaborate with cross-functional teams including architects, linguists, and content authors.
- Support iterative development cycles, rapid prototyping, and continuous integration.
- Integrate AI frameworks with SharePoint Online, Microsoft 365, and workflow automation tools.
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, Pandas, and lxml.
- Experience with supervised, unsupervised, and reinforcement learning models.
- Expertise in NLP techniques including tokenization, entity recognition, topic modeling, and semantic search.
- Experience with knowledge graphs and semantic enrichment.
- Strong understanding of XML structure, namespaces, and DOM manipulation.
- Experience with relational databases (PostgreSQL, Oracle, SQL Server) and normalized schema design.
- Familiarity with Git for version control and collaboration.
- Experience with Azure Cognitive Services and DevOps pipelines.
- Experience in regulated or public sector environments.
Nice to Have Skills
- Familiarity with LLMs (e.g., GPT-4, Claude) for content generation and summarization.
- Experience with FAISS or Pinecone for semantic clustering.
- Exposure to FrameNet and other linguistic resources for semantic understanding.
- Experience with shell scripting, Typescript, Scala, or R.
- Use of Power BI, Tableau, or Quicksight for post-migration analytics.
- Understanding of bias mitigation, explainability, and responsible AI practices.
- Experience with contradiction detection and semantic validation.
- Familiarity with document chunking for retrieval-augmented generation (RAG).
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.
- Strong organizational and time management skills.
- Commitment to quality and attention to detail.
- Ability to work independently and collaboratively.
- Willingness to learn new tools and technologies.
- Eligibility for Reliability Security status; minimum five years’ residency in Canada.
- Experience working in a multicultural or multilingual environment.
- Familiarity with agile or other modern project management methodologies.
- Previous experience in a remote or hybrid work setting.