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Data Scientist

Posted November 27, 2025
Full-time Executive

Job Overview

MISSION :

  • You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects.
  • You design and fully develop solutions that can implement AI technologies.
  • You contribute to technology watch

Ideal Candidate Profile:

  • Must have a background in Computer Science
  • The candidate should have 2+ yrs of experience into Data Scientist
  • Hands-on experience in Machine Learning and Natural Language Processing (NLP)
  • Strong Python development skills, with a focus on writing high-quality, maintainable code.
  • Familiar with code reviews and continuous integration (CI) best practices.
  • Experience with Docker and Kubernetes for containerization and orchestration.
  • Exposure to cloud-based applications and deployment workflows.
  • Proficient in SQL and NoSQL databases, including document and graph-based systems.
  • Comfortable working in Linux environments and using Git for version control.
  • Demonstrates autonomycuriosity, and rigor in problem-solving and development.

About role:

The use cases for data science are varied and lead to concrete implementations. Here are some examples:

  • Score the risk of corporate failure in every country
  • Extract information from images, documents and web scrapping
  • Build knowledge graphs from corporates linkages
  • Specialize search engine and language models in identifying companies
  • Generate visual and textual explanations for AI model predictions

MAIN RESPONSIBILITIES:

  • The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services.
  • The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud.
  • Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.

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