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AlmavivA de Belgique

Data Scientist - Intermediate Level - Deadline 09/12/25

AlmavivA de Belgique
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.

Non-Functional Skills

  • 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.

Specific Expertise

  • 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.

Level: Intermediate

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

Industries

Information Technology & Services

Categories

Engineering Information Technology

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