We are looking for a talented AI data scientist with a business mindset coupled with strong expertise in (Gen)AI.
Key Expertise
- AI/GenAI delivery
- POC/PILOT/Industrial process & tooling knowledge
- IT AI environment as super user
- MS Azure is a plus
- Data Science knowledge
- Project management: collaboration, communication, stakeholder management, helicopter view
- Master’s degree (Sciences, Business Engineering/Economic Sciences, Civil Engineering, Mathematics, Computer Sciences)
Context of the Mission / Objective(s) of the Job
The successful candidate will work in a dynamic environment that presents opportunities to apply analytical skills to solve business problems.
Key Responsibilities:
- Work closely with business and technical teams to identify high-impact use cases for Generative AI
- Design, develop, and implement AI-driven solutions for business needs, using both internal and external data sources
- Identify and communicate insights from data analysis to support decision-making and problem-solving activities
- Collaborate with cross-functional teams to identify and resolve data-related issues
- Continuously monitor AI models for accuracy, and proactively identify and resolve data discrepancies and drift
- Contribute to the development of a GenAI capability framework and internal best practices
Mission Period
- Start Date:ASAP
- Duration: 24 months (extension possible depending on project evolution)
Language Requirements
| Language | Speaking | Reading | Writing | Mandatory | Preferable |
|---|---|---|---|---|---|
| English | 2/3 | 2/3 | 2/3 | ✓ | |
| Dutch | 2/3 | 2/3 | 2/3 | ✓ | |
| French | 2/3 | 2/3 | 2/3 | ✓ |
1 = Basic – 2 = Good – 3 = Fluent
Localisation
Brussels Centre
Level of Education Required
Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Business) or a related field with a strong focus on data analysis
Required Knowledge and Experience
Personal Skills (Soft Skills) – Mandatory
- Ability to work independently and as part of a team
- Manage multiple priorities
- Meet tight deadlines
- Availability for occasional travel and projects in other operating companies
Business Experience – Mandatory
- Data science, preferably in a business setting
- Strong business acumen and the ability to understand and communicate business needs and requirements
- Seniority:** 5–8 years
Technical Experience – Mandatory
- Proven experience with data wrangling, statistical analysis, predictive modeling, and machine learning
- Proficient in Python and commonly used libraries (Pandas, NumPy, Scikit-learn, etc.)
- Cloud Expertise: Strong knowledge of cloud platforms, especially Azure (Azure AI services, Azure ML, Vertex AI, Databricks, Azure OpenAI, etc.)
- LLM Libraries: Deep expertise with Python libraries such as Langchain, LangGraph, Promptflow, Semantic Kernel, and Autogen
- Deep understanding of LLMs fine-tuning and/or training lifecycle (LLMops)
- GenAI Deployment: Proven experience in deploying and monitoring GenAI models using CI/CD pipelines, Weight & Biases, and GitHub workflows
Functional Experience – Mandatory
- Strong knowledge of data analysis techniques and tools, such as Python, SQL, Power BI, Databricks
