Data Scientists / ML Engineers

Stack

Responsibilities

• ▹Work in pairs or small teams on innovative projects within the Data Lab team
• ▹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

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, for interactions with business teams around the world

Soft skills

What we offer

• ▹Hybrid position: 3 days of remote work per week and a maximum monthly subsidy of EUR 30
• ▹Vouchers worth EUR 12 for each day of remote work
• ▹Language training: e-learning platform for learning 6 foreign languages (depending on the type of employment contract)
• ▹EUR 350 equipment allowance for remote work (depending on the type of employment contract)
• ▹Contribution towards the purchase of an electric bike (depending on the type of employment contract)
• ▹Knowledge sharing, training and technology monitoring during dedicated time

About the company

Coface is a leading global player in credit insurance and risk management, present in around 100 countries. The Coface DataLab, a team of about 30 members, combines data science and software engineering to build operational solutions that improve risk management, business processes, products and services.