Leader in digital transformation and a pioneer in innovation, Fujitsu Canada offers a comprehensive portfolio of IT services to support its clients in their value creation journey, in improving customer experience, or in increasing operational efficiency, notably by helping them in their move to the cloud. Our mission is to contribute to sustainable development by strengthening trust in our society through innovation.
We are looking for a Data Scientist to support large scale modernization project in the public sector. This role focuses on AI ML NLP driven transformation, semantic enrichment, and intelligent content migration in line with compliance and innovation standards.
Core Competencies
- Degree in data science, artificial intelligence, machine learning, or computational linguistics.
- Strong command of Python and libraries such as TensorFlow, PyTorch, Scikit learn, Hugging Face Transformers.
- Experience in 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 process bilingual datasets English French and ensure semantic consistency.
- 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.Support the processing and merging of bilingual datasets into unified knowledge articles.Contribute to iterative development cycles, rapid prototyping, and continuous integration.Participate in the design of scalable KM ecosystems accessible via APIs and aligned with DevOps practices.Assets
Experience with FAISS, Pinecone, or similar tools for clustering and semantic search.Familiarity with FrameNet and other linguistic resources for semantic enrichment.Exposure to LLMs such as GPT 4 and Claude for content rewriting and summarization.Experience in post migration analytics using Power BI, Tableau, or Quicksight.Previous experience in the public sector using AI for modernization.General Requirements
Reside in the Gatineau / Ottawa region, in Quebec or Ontario.Hybrid work model on site at least three days per week, with additional days as required.Eligibility for Reliability security clearance with a minimum of five years of residence in Canada.Excellent organizational, communication, and problem-solving skills.Ability to work independently and collaboratively in a dynamic environment.Commitment to quality, continuous learning, and emerging technologies.Employee Benefits what awaits you at Fujitsu
Vacation three to four weeks depending on experience.Retirement savings plan RRSP with employer matching up to four percent of annual base salary.Comprehensive group insurance from day one.Hybrid work model based on Fujitsu and client requirements.And many other benefits.We offer
Local and personalized career support.A tailored training path.Work life balance.The opportunity to work remotely with distributed and multicultural teams.Respect and equality.Please note that Fujitsu also promotes the French language.Our Diversity and Equity Policies
At Fujitsu, one of our corporate principles is We respect human rights. This principle underpins all corporate and individual activities and guides the actions of every member of the Fujitsu Group. We embrace diversity and equal opportunity. Qualified candidates will be considered for employment without regard to race, colour, religion, sex, gender identity or sexual orientation, national origin, genetics, disability, age, or veteran status. By empowering people, we can unlock our collective strengths to create a better experience for our employees, our clients, and our partners.
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