Data Science & Advanced Analytics

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

We are looking for an experienced Technical Architect specialising in Data Science and Advanced Analytics to join a project in Brussels.

The successful candidate will have more than 10 years of relevant professional experience and a demonstrable record of delivering sophisticated analytics solutions. This is a hands-on position, so practical implementation experience is essential; academic Data Science experience alone will not be sufficient.

Key responsibilities

• 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.
• 8+ years of relevant hands-on experience in Data Science, advanced analytics or a closely related field.
• Strong SQL and/or ETL experience.
• Practical knowledge of machine learning and advanced analytical techniques.
• Experience implementing analytics solutions in production environments.
• Strong verbal and written communication skills.
• Excellent stakeholder management, organisation and time-management skills.
• Ability to work independently, adapt quickly and solve problems creatively.
• Previous experience working in Agile environments.
• Scala and/or Apache Spark.
• Hadoop ecosystem.
• Cloudera distribution of Hadoop.
• Natural language processing.
• Large language models and AI agents.
• Mathematical optimisation.

Applicants should be able to work under a hybrid arrangement in Brussels and have the appropriate right to work in Belgium.