Data Scientists / ML Engineers

Coface

1d • Hybrid

About The Position

Coface DataLab is recruiting junior and senior data scientists/ ML engineers to develop and deliver operational AI/ machine learning solutions for the company. Coface is a leading global player in credit insurance and risk management, with a presence in around 100 countries. The Data Lab brings together expertise in Data Science and Software Engineering to design, develop, and deploy operational solutions that improve the company's risk management, business processes, products and services. The team addresses many use cases for Data Science, involving a variety of Machine Learning and AI technologies, such as scoring business failure risk, extracting information from images and documents, building custom search engines, knowledge graphs, and financial modeling. The Data Lab's work includes solid Software Engineering practices for operational integrations, data extractions, and CI/CD pipelines on Docker/Kubernetes infrastructures, Apache Airflow, and in the cloud. Knowledge sharing through presentations, training, and technology monitoring is integral to the Data Lab's operations. Team members typically work in pairs or small teams on innovative projects, designing and developing complete solutions from data extraction and modeling to deployment and production monitoring.

Requirements

• Engineering degree or equivalent in Data Science
• 3 years of experience demonstrating proficiency in Python and best practices for code review and continuous integration
• Use of Linux and Git
• Autonomy, curiosity, rigor
• English and French are mandatory

Responsibilities

• Design and develop complete solutions, from data extraction and modeling to deployment on container infrastructures or in the cloud, and monitoring in production.
• Contribute to technology monitoring and knowledge sharing within the team.

Benefits

• 3 days of remote work per week
• A maximum monthly subsidy of €30 for remote work
• Vouchers worth €12 for each day of remote work
• Access to an e-learning platform for learning 6 foreign languages (depending on employment contract)
• An equipment allowance of €350 for remote work (depending on employment contract)
• A contribution towards the purchase of an electric bike (depending on employment contract)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree