Data Scientist en Coface

At Coface we make trade happen everyday 

Coface is a team of 5,200 people of 80 nationalities across nearly 58 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses. 

With 80 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services. 

As a close-knit, international organisation at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural. 

Every day, our teams are making trade happen. Join us! 

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
• 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.

• Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing…
• 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

• Flexible working model after the 1st month
• Great place to work: central and modern office 
• Opportunities to learn: budget every year for training, languages platform, e-learning platform, dedicated development program…
• 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