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
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Hands-on experience in Machine Learning and Natural Language Processing (NLP)
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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.
- Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing
- 2+ relevant experience in Data Scientist
- 0 to 3 years' experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices.
- Experience of Docker/Kubernetes deployment and cloud applications desirable
- Use of Linux and Git
- Practice of SQL and experience with NoSQL databases (document, graph)
- Autonomy, curiosity, rigor
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Flexible working model after the 1st month
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Great place to work: central and modern office
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Opportunities to learn: budget every year for training, languages platform, e-learning platform, dedicated development program…
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Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field
- Health care
