Senior Data Scientist

Job Title: Senior Data Scientist

Location: Brussels

Start Date: 05/01/2026

End Date: 01/07/2026

Mission Context:

Join the Predictive Models team within the Marketing and Communication department to develop responsible AI models that enhance the effectiveness and relevance of campaigns for customers and employees.

Function Description:

We are looking for a Senior Data Scientist with a proven track record in building and deploying data science models, particularly using LLMs for text classification and summarization. You will collaborate with a team of motivated data scientists to address various business challenges by creating responsible AI models. Your responsibilities will include:

• Capturing business needs and determining feasibility.
• Building models and analyses to identify relevant target groups and setting up tests to measure model impact.
• Developing models to support customer journey-driven marketing campaigns.
• Building pipelines to clean and structure web analytics data and using LLMs to detect customer intent.
• Applying guidelines and best practices for building responsible AI models.
• Monitoring and deploying AI models in production using a comprehensive stack of tools.
• Presenting technical concepts as clear, actionable insights to business owners and advising on model usage in campaigns.

Language Requirements:

• English: Fluent spoken and written
• Dutch: Fluent spoken and written OR French: Fluent spoken and written

Education:

Master’s degree or higher in a quantitative field such as statistics, mathematics, or computer science. Candidates with other academic backgrounds and substantial experience in data science are also encouraged to apply.

Required Experience/Knowledge:

At least 5 years of relevant experience.

Technical Experience - Mandatory:

• Expertise in Python programming and Python data science environment (scikit-learn, PyTorch, TensorFlow).
• Expertise in customer journey modeling (e.g., next best action).
• Solid understanding of statistical methods, experiment design, and machine learning algorithms (traditional and deep learning).
• Expertise in the usage of LLMs for text classification, interpretability, guardrails, and validation of LLM-driven predictions.
• Proficiency in git, bash, and SQL.

Technical Experience - Preferable:

• Experience with incremental learning.
• Experience with uplift modeling.
• Experience with Marketing Mix Modeling and optimization under constraints.
• Familiarity with SAS and Streamlit.

Telework:

50% mandatory presence in Brussels Head Office, 50% telework.

Soft Skills:

• Taking ownership and ability to drive projects end-to-end with minimal guidance.
• Ability to translate data insights into actionable business recommendations.
• Quick learner and autonomous.
• Clear and concise communication.
• Team player.
• Pro-active attitude and result-driven.
• Analytical and problem-solving mindset.