Job Description

Roles & Responsibilities

Reporting to the Strategy and Development Department, the Data Lab brings together expertise 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 comprises around thirty people based in Paris, Toronto, and Casablanca. The Data Lab strives to implement best development practices, primarily in Python but also in React and Java, and manages CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, Apache Airflow, and in the Cloud. Knowledge sharing through presentations among team members, training, and dedicated time for technology monitoring are integral to the Data Lab's operations. Data science use cases are varied and lead to concrete implementations in internal tools and client applications, for example: Scoring the risk of business failure; Extracting information from images and documents; Building and using knowledge graphs; Search engines specializing in business identification; Financial modeling and simulations

Your role: You will join the Coface Data Lab team and work primarily in pairs or small teams on innovative projects. You will design and fully develop solutions that implement Machine Learning technologies, from deployment on our container infrastructure or in the cloud, to production monitoring. You will also contribute to technology monitoring.

Desired Candidate Profile

Qualifications

Engineering degree or equivalent in Data Science: supervised and unsupervised learning, clustering, NLP

Two or more years of experience in a similar role

Proficiency in Python, its ecosystem, and best practices for code review and continuous integration

Using Linux and Git

Autonomy, curiosity, rigor

English: projects in international contexts

Desired skills:

Experience in Python application development with high quality standards

Implementation of the CI/CD chain

Experience deploying Docker/Kubernetes and cloud applications

Practical experience with SQL and NoSQL databases (document, graph).