Senior Data Scientist / ML Engineer

At Coface, we advance trade every day.

Our 5,200 experts, representing more than 80 nationalities in 58 countries, are united by a common mission: helping businesses navigate uncertainty by empowering them to make the right decisions and trade smarter in a complex world.

With nearly 80 years of international experience, we offer businesses a full range of solutions: credit insurance, business information, debt collection, single risk insurance, bonds, factoring — all powered by a unique data heritage, cutting-edge technology, innovation, and a deep understanding of the global economy.

Joining Coface means joining a close-knit international organization where your ideas matter.

We cultivate a culture of learning, collaboration, and inclusion, where you have responsibilities and can see the impact of your actions. Shape the future of trade with us.

Join the Happeners!

Reporting to the Strategy and Development Department, the Data Lab brings together skills in Data Science, AI, and Software Engineering to design, develop, and deploy operational solutions that improve the company's processes, products, and services. The team consists of about thirty people spread across Paris, Toronto, and Casablanca. The Data Lab seeks to implement development best practices, primarily in Python but also in React and Java, and manages CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, on Apache Airflow, and in the Cloud. Knowledge sharing through presentations between team members, training, and technological monitoring during reserved time are part of the Data Lab's way of working. Data science use cases are varied and result in concrete implementations in internal tools and customer applications, for example: Business default risk scoring Information extraction from images and documents Construction and exploitation of knowledge graphs Search engine specialized in company identification Financial modeling and simulations The missions:  You join the Coface Data Lab team and most often work in pairs or in small teams on innovative projects You design and fully develop solutions that can implement Machine Learning technologies, up to deployment on our container infrastructures or in the cloud, and monitoring in production You contribute to technological monitoring

Engineering degree or equivalent in Data Science: supervised and unsupervised learning, clustering, NLP… Two years or more of experience in a similar role Mastery of Python, its ecosystem, and best practices for code review and continuous integration Use of Linux and Git Autonomy, curiosity, rigor English: projects in international contexts Appreciated skills: Experience in Python application development with high quality standards Implementation of CI/CD pipelines Experience in Docker/Kubernetes deployment and cloud application Practice of SQL and experience in NoSQL databases (document, graph)

Multiple-choice questionnaire (MCQ) regarding the technical skills required for the position — estimated duration: 10 minutes Technical interview, including a review of the candidate's professional background — estimated duration: 1 hour Technical evaluation in Python and Machine Learning, performed without the assistance of a Large Language Model (LLM) — two Colab notebooks, approximately 45 minutes each Interview with the Human Resources department — estimated duration: 45 minutes Presentation of a job offer