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Data Scientist – Machine Learning & Generative AI

Digital
Data
Bachelor
Advanced (5+)
Location
Anderlecht, Brussels-Capital
Work type
Consultancy
Work model
Fulltime, Hybrid

Our client, a major organization in the transport and infrastructure sector, is seeking a Data Scientist to support high-impact analytical projects. The role involves developing advanced models for security, punctuality, and sustainability while exploring the potential of generative AI to improve operational efficiency.

Responsibilities

  • Design and implement advanced data science solutions using machine learning, deep learning, and generative AI techniques.
  • Collaborate with cross-functional teams in operations, IT, and sustainability to deliver data-driven strategies.
  • Translate complex business challenges into technical requirements and actionable analytical solutions.
  • Ensure best practices throughout the model development, validation, and deployment lifecycles.
  • Drive the adoption of cutting-edge tools and methodologies within the internal data science team.
  • Develop strategic models to optimize infrastructure safety, energy consumption, and punctuality.

Requirements

  • You have a degree in Data Science, Computer Science, Statistics, or AI.
  • You bring 5+ years of experience in data science with a strong track record in industrial applications.
  • You possess expertise in Cloud Services for industrialized data analytics projects.
  • You're experienced in bringing Machine Learning and AI models into production environments.
  • You possess strong communication and presentation skills to convey complex technical findings.
  • You are fluent in English.

Nice to Haves

  • Knowledge of specialized programming languages for data analysis and modeling.
  • Broad understanding of diverse data science techniques and statistical methods.

Offer

  • Start date: 17/08/2026
  • Duration: project until 30/06/2027
  • Work regime: Full-time
  • Location: Brussels
  • Working model: Hybrid (onsite presence required on Tuesday and Thursday)
  • Contract: open to both permanent employees and freelancers
# 101288
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