Data Scientist

België
|Brussel
|Data Analyst
|Freelance |Payroll (consultancy)
|Engels
# INW25024

Function

As a Data Scientist within our client’s environment, you will play a key role in designing and delivering advanced analytical solutions that support critical operations and strategic initiatives.

  • Design and implement advanced data science solutions using machine learning, deep learning, and generative AI techniques

  • Develop predictive and analytical models to support areas such as safety analytics, operational performance, and energy efficiency

  • Translate complex operational or strategic challenges into scalable data-driven models

  • Collaborate closely with cross-functional teams including technical specialists, operational stakeholders, and IT professionals

  • Apply best practices in model development, validation, testing, and deployment

  • Contribute to the adoption of modern data science tools, frameworks, and methodologies across the team

Key Areas of Work

You will be involved in a variety of analytical initiatives where advanced analytics and AI can deliver measurable impact.

  • Security and risk analytics aimed at improving safety and infrastructure monitoring

  • Predictive modeling to optimize operational performance and reliability

  • Energy consumption analysis to support sustainability and efficiency initiatives

  • Exploration of generative AI use cases to enhance processes and operational decision-making

  • Development of strategic models to support data-driven planning and optimization

Profile & Required Skills

Our client is seeking an experienced data science professional with strong technical expertise and the ability to work effectively with business stakeholders.

  • Master’s degree (or equivalent) in Data Science, Computer Science, Statistics, Artificial Intelligence, or a related field

  • At least 5 years of experience in data science with a proven track record delivering solutions in industrial or operational environments

  • Strong knowledge of programming languages commonly used in data science (such as Python or similar)

  • Solid understanding of machine learning, advanced analytics techniques, and model lifecycle management

  • Experience deploying machine learning or AI models into production environments

  • Proven experience working with cloud-based platforms for large-scale data analytics projects

  • Ability to translate complex business challenges into actionable analytical solutions

  • Strong communication and presentation skills when working with both technical and non-technical stakeholders

  • Willingness to work on-site part of the week in collaboration with the broader team

Language requirements: English and Dutch.

Back Print
Data Scientist
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