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 autonomy, curiosity, 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.