Data Scientist: AI Matching Engine & Frontend

Neurho Solutions

Charleroi

On-site

EUR 50,000 - 70,000

Full time

2 days ago
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Job summary

Neurho is seeking a Data Scientist to help develop a multilingual matching engine that links jobseekers with employment and training opportunities. You will design interfaces to present profile assessments, job proposals, and recommended pathways, while making matching results understandable with clear criteria, skills gaps, and proposal rankings.

You will also build dashboards for data quality, test results, usage, and engine performance, and collaborate with stakeholders to co-design

Qualifications

  • 1–4 years of frontend development experience.
  • 1–4 years of experience with Microsoft Azure AI and Azure AI Search.
  • 1–4 years of experience with Microsoft Fabric.
  • 1–4 years of Python and R experience.
  • Dutch or French at C1 level.

Responsibilities

  • Design and develop interfaces presenting profile assessments, job and training proposals, and recommended pathways.
  • Make matching results understandable by showing correspondence criteria, skills gaps and the ranking of proposals.
  • Build dashboards covering data quality, test results, usage and engine performance.
  • Co-design accessible, multilingual interfaces with users and technical and business stakeholders through workshops, demonstrations and test feedback.
  • Contribute to matching and reranking logic, API contracts, containerised applications and release validation alongside an Azure and Fabric expert.
  • Document, maintain and support the deployed solutions.

Skills

Frontend development
Python
R
Microsoft Azure AI
Microsoft Azure AI Search
Microsoft Fabric
Dutch or French (C1)

Tools

Docker

Job description

Neurho is seeking a Data Scientist to help develop a multilingual matching engine that links jobseekers with employment and training opportunities. You will design interfaces to present profile assessments, job proposals, and recommended pathways, while making matching results understandable with clear criteria, skills gaps, and proposal rankings.

You will also build dashboards for data quality, test results, usage, and engine performance, and collaborate with stakeholders to co-design

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