Talencia Consulting - Data Scientist / Data Engineer - Medior H/F/X

Description de l'entreprise

Talencia is a Belgian recruitment consultancy specialized in providing permanent & freelance IT staffing. Talencia's name reflects our commitment to you - a business partnership designed to make the best match between clients and talents. Our experienced recruitment consultants have an extensive knowledge in the IT field. They will work in close collaboration with you in order to provide you with the highest quality service. We at Talencia understand the needs and expectations of both our clients and talented IT professionals seeking contract work. We consider every assignment as unique and experience has taught us the importance of flexibility, in order to adapt to client's requirements in a rapidly evolving market trends. Through a dedicated and bespoke candidate service, Talencia works with you, to find the company/organization to match your career aspirations and talents

Description de la fonction

We are looking for a Medior Data Engineer / Data Scientist to join an Advanced Analytics team and contribute to a wide range of data-driven and AI initiatives.
The role combines data science, Machine Learning, advanced analytics and generative AI, with projects covering various business areas such as Marketing, e-Commerce, Product, Customer Excellence, Stores, Supply Chain and Procurement.
You will work closely with data, technology and business teams to transform complex datasets into actionable insights and develop innovative AI-driven solutions.

Responsibilities

• Data analysis & Machine Learning:
  • Analyze large and complex datasets using advanced statistical and Machine Learning techniques.
  • Identify trends, patterns and opportunities to support data-driven business decisions.
  • Develop, deploy and optimize Machine Learning models.
  • Work on Generative AI and Agentic AI use cases, including AI agents.
  • Continuously evaluate and fine-tune models to improve their performance and business value.
• MLOps:
  • Apply MLOps best practices throughout the Machine Learning lifecycle.
  • Implement model versioning, continuous integration and automated deployment processes.
  • Monitor model performance and ensure the reliability of production models.
  • Contribute to model retraining, maintenance and continuous improvement.
• Collaboration:
  • Work closely with Data Platform, Data Insights and Business teams to understand requirements and deliver appropriate solutions.
  • Translate business challenges into data-driven solutions.
  • Present complex technical findings and analytical results clearly to both technical and non-technical stakeholders.
  • Contribute to Agile squads and collaborate effectively with cross-functional teams.
• Innovation & AI:
  • Stay up to date with the latest developments in Data Science, Machine Learning and Generative AI.
  • Investigate and experiment with emerging AI technologies.
  • Explore Agentic AI and AI-agent architectures to identify new opportunities and improve data capabilities.
  • Contribute to the adoption of innovative data and AI solutions within the organization.

Required skills & experience

• Master's degree in Computer Science, Data Science, Statistics, Economics or another relevant scientific/business-oriented field.
  
• 3+ years of professional experience as a Data Scientist, Data Engineer or in a closely related role.
  
• Strong experience applying advanced statistics and Machine Learning to real-world business problems.
  
• Ability to transform complex data into clear, actionable business insights.
  
• Strong programming skills in Python and SQL.
  
• Experience working with Google Cloud Platform (GCP), particularly technologies such as:
  
  • Vertex AI
    
  • BigQuery
    
  • Dataform
    
• Understanding of MLOps principles and practices.
  
• Experience working in Agile environments, such as Scrum or Kanban.
  
• Ability to work independently and take ownership of projects from concept through implementation.
  
• Strong communication and collaboration skills, with the ability to interact with both technical and business stakeholders.
  
• Fluent in english and proficient in french or dutch.
  

Nice to have:

• Experience with Generative AI.
  
• Experience with Agentic AI / AI Agents.
  
• Experience with GCP agentic AI technologies such as ADK or Model Armor.

...

Compétences linguistiques

• Anglais (atout)

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• Français (atout)

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• Néérlandais (atout)

  • Comprendre : Expérimenté - (C1)
  • Écrire : Expérimenté - (C1)
  • Lire : Expérimenté - (C1)
  • Parler : Expérimenté - (C1)

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