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AlmavivA de Belgique
Deadline 09/12/25
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Data Scientist - Intermediate Level - Deadline 09/12/25
Belgium
· Full-time
·
Entry
- Good understanding of machine learning techniques and statistical methods, such as classification, clustering, and basic predictive modelling.
- Experience developing analytics with Python or R, using common libraries and frameworks.
- Ability to apply quantitative methods to practical, real-world problems.
- Familiarity with concepts like risk scoring, anomaly detection, and reducing bias in models.
- Basic knowledge of modern data science tools and environments (e.g., RStudio, Anaconda, Git/version control).
- Awareness of model governance principles such as reproducibility and interpretability.
- Ability to explain technical results clearly to non-technical audiences.
- Capacity to work independently on analytics tasks while aligning with team and project needs.
- Comfortable working in international and multicultural environments.
- Strong teamwork and adaptability.
- Ability to manage multiple tasks and priorities.
- Willingness to participate in multilingual meetings.
- Excellent communication skills in English (written and spoken); knowledge of French is a plus.
- High level of integrity when handling sensitive information.
- Around 4 years of hands-on experience in applying data science models in a professional context.
- Practical experience building statistical or machine learning models, with applications such as fraud detection, risk classification, or predictive analytics.
- Exposure to the full lifecycle of model development — from preparing data to testing and deployment.
- Ability to contribute to structured analytics within a cross-disciplinary team.
- Background in academic projects or applied research is considered an advantage.
Deadline 09/12/25
Key Skills
Ranked by relevance
machine learning
python
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- Posted
- Nov 27, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Brussels
- Company
- AlmavivA de Belgique
Industries
Information Technology & Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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