Vandycke & Partners
Data Scientist - AI & Cybersecurity
Brussels-Capital
Digital - Data
Phd
Work experience: 3-5
Reference number: 90407

We’re looking for passionate Data Scientists to join a leading AI & Cybersecurity Centre of Excellence, where teams of data scientists, data engineers, and analytics experts design, develop, and deploy impactful AI solutions across the organization.

You’ll take ownership of end-to-end AI use cases — from scoping and modeling to integration and deployment — ensuring that your solutions deliver measurable business value while adhering to best practices in scalability, governance, and quality.

If you love working with cutting-edge (Gen)AI, collaborating with cross-functional experts, and seeing your work make it to production, this role is for you.

What You’ll Do

  • Design, develop, and deploy AI applications using state-of-the-art machine learning and GenAI technologies.
  • Translate business challenges into practical, data-driven AI solutions.
  • Develop and pilot proofs of concept, then scale them into production systems.
  • Ensure end-to-end deployment of AI solutions, integrating them into production environments.
  • Collaborate with business and domain experts for data understanding, feature design, and validation.
  • Present results clearly and effectively to both technical and non-technical audiences.
  • Contribute to the team’s continuous improvement, knowledge sharing, and process optimization.

What are we looking for?

  • Master’s or PhD in Artificial Intelligence, Computer Science, Engineering, or equivalent field.
  • 2+ years of professional experience in AI/ML engineering or applied data science.
  • Advanced proficiency in Python and standard ML libraries.
  • Deep understanding of machine learning and statistical modeling techniques.
  • Proven experience deploying scalable AI systems to production.
  • Hands-on experience with Azure Cloud and Azure Data & AI services.
  • Solid knowledge of version control (Git/GitHub) and CI/CD pipelines.
  • Experience with Large Language Models (LLMs) and tools such as LangChain or LlamaIndex.
  • Fluent in English, plus French and/or Dutch
Nice-to-Have Skills
  • Familiarity with Agentic AI frameworks (LangGraph, AutoGen, CrewAI).
  • Experience with MLOps tools such as MLflow, Kubeflow, or TFX.
  • Strong background in data engineering and cloud-native AI pipelines.

What do we offer?

Contract: Permanent only 

Location: Brussels (hybrid)

Duration: 6 months + extension

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