Data Scientist: AI App Dev on Azure with Dashboards

Sansaone; Belgique; On-site; EUR 70,000 - 100,000; Full time

Job summary

Sansaone is seeking a Data Scientist to lead end-to-end AI application development with emphasis on frontend interfaces and results reporting on a Microsoft technology stack (Azure, Azure AI Search, Microsoft Fabric). The role includes designing presentation interfaces for AI results, ensuring explainability, and creating dashboards for monitoring data quality, tests, and performance indicators.

Close collaboration with Forem users and stakeholders is required to guarantee alignment with

Qualifications

• Recent experience as a Data Scientist with end-to-end AI application development.
• Experience in frontend development and results reporting on a Microsoft technology platform (Azure, Azure AI Search, Microsoft Fabric).

Responsibilities

• Design and develop the presentation interfaces of AI-driven results, including business positioning and recommended integration paths.
• Ensure explainability formatting of matching criteria, gaps in skills, and prioritization of proposals, with dashboards for data quality, tests, and performance indicators.
• Co-design with Forem users and stakeholders through workshops, testing, accessibility, and multilingual interfaces to align solutions with operational needs.
• Contribute to engine development (matching and reranking logic, API contracts, containerized apps) in collaboration with Azure/Fabric experts.
• Maintain documentation and support for deployed solutions through 2027, per project managers' terms.

Skills

Data Science

Frontend development

Results reporting

Tools

Azure

Azure AI Search

Microsoft Fabric

Job description

Sansaone is seeking a Data Scientist to lead end-to-end AI application development with emphasis on frontend interfaces and results reporting on a Microsoft technology stack (Azure, Azure AI Search, Microsoft Fabric). The role includes designing presentation interfaces for AI results, ensuring explainability, and creating dashboards for monitoring data quality, tests, and performance indicators.

Close collaboration with Forem users and stakeholders is required to guarantee alignment with