Senior Data Science & Analytics Architect (Hybrid Brussels)

Acquism SARL; Brussel; Hybride; EUR 120 000 - 180 000; Plein temps

Résumé du poste

Acquism SARL seeks an experienced Technical Architect specializing in Data Science and Advanced Analytics to join a Brussels project. This hands-on role requires deep practical expertise, with a track record of delivering complex analytics in production.

You will lead end-to-end data solutions, collaborating with stakeholders and technical teams. Applicants should have 10+ years in data science/analytics, strong SQL/ETL, Python, and hands-on ML/NLP/LLMs.

Qualifications

• 10+ years of relevant professional experience in data science/analytics.
• Hands-on experience with practical analytics implementation in production.
• Strong SQL and ETL experience; proficient in Python.

Responsabilités

• Design and implement advanced analytics solutions.
• Translate business requirements into scalable technical solutions.
• Apply techniques including machine learning, natural language processing, large language models, AI agents and mathematical optimisation.
• Develop data and analytics solutions using Python, SQL and ETL processes.
• Implement advanced analytics solutions within controlled production environments.
• Work with Microsoft Azure and related cloud services.
• Collaborate with technical teams, end users and senior business stakeholders.
• Present findings and explain complex technical concepts clearly to different audiences.
• Contribute to Agile delivery and ensure technical work supports the final product.
• Evaluate emerging tools and technologies to maintain modern Data Science practices.

Connaissances

Python

SQL

ETL

Machine Learning

NLP

LLMs

AI agents

Mathematical optimisation

Agile

Stakeholder management

Strong communication

Outils

Azure

Spark

Hadoop

Cloudera

Scala

Description du poste

Acquism SARL seeks an experienced Technical Architect specializing in Data Science and Advanced Analytics to join a Brussels project. This hands-on role requires deep practical expertise, with a track record of delivering complex analytics in production.

You will lead end-to-end data solutions, collaborating with stakeholders and technical teams. Applicants should have 10+ years in data science/analytics, strong SQL/ETL, Python, and hands-on ML/NLP/LLMs.