PFE Internships 2026/2027 - DataLab (Pre-Hiring)

About the company

Making trade happen: together, let's make trade move!

At Coface, we make trade move every day. Our 5,200 experts, representing more than 80 nationalities in 58 countries, share a single purpose: helping companies navigate uncertainty by giving them the means to make the right decisions and trade more intelligently in a complex world.

With nearly 80 years of experience on a global scale, we offer companies a full range of solutions: credit insurance, information services, debt collection, Single Risk insurance, bonding, factoring... many solutions that rely on our unique data heritage, cutting-edge technologies, innovation, and a deep knowledge of the global economy.

Joining Coface means being part of an international organization with a human scale, where your ideas matter. We encourage a culture based on learning, collaboration, and inclusion, where you will be entrusted with responsibilities and will be able to concretely measure the impact of your actions.

Shape the future of global trade with us. Be one of the next Happeners to join us!

Your tasks

Our DataLab is looking for interns who are passionate about data, curious, and motivated to learn and contribute to innovative projects involving artificial intelligence, machine learning, and data analysis.

🎯 Missions

• You will join the Coface Data Lab team and work most often in pairs or in small teams on innovative projects
• You will design and fully develop solutions that can implement Machine Learning technologies, up to deployment on our container infrastructures or in the cloud, and production monitoring
• You will contribute to technological monitoring

Requirements

Student in Bac+5 (Engineering School or Master's)

• Mastery of supervised and unsupervised learning models, clustering, NLP…
• Mastery of Python, its ecosystem, and best practices
• Autonomy, curiosity, rigor
• English: projects in international contexts
• Appreciated skills:
• Use of Linux and Git
• Experience in Python application development with high quality standards
• Implementation of CI/CD pipelines
• Experience in Docker/Kubernetes deployment and cloud applications
• Practice of SQL and experience in NoSQL databases (document, graph)