Job Description

Company Description

At Coface we make trade happen everyday

Coface is a team of 5,200 people of 80 nationalities across nearly 58 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.


With 80 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.


As a close-knit, international organisation at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.


Every day, our teams are making trade happen. Join us!

MISSION :

You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects. You design and fully develop solutions that can implement AI technologies. You contribute to technology watch

Ideal Candidate Profile:

Must have a background in Computer Science

Hands-on experience in Machine Learning

and

Natural Language Processing (NLP)

Strong Python development skills

, with a focus on writing high-quality, maintainable code. Familiar with

code reviews

and

continuous integration (CI)

best practices. Experience with

Docker

and

Kubernetes

for containerization and orchestration. Exposure to

cloud-based applications

and deployment workflows. Proficient in

SQL

and

NoSQL databases

, including document and graph-based systems. Comfortable working in

Linux environments

and using

Git

for version control. Demonstrates

autonomy

,

curiosity

, and

rigor

in problem-solving and development.

About role:

The use cases for data science are varied and lead to concrete implementations. Here are some examples:

Score the risk of corporate failure in every country Extract information from images, documents and web scrapping Build knowledge graphs from corporates linkages Specialize search engine and language models in identifying companies Generate visual and textual explanations for AI model predictions

MAIN RESPONSIBILITIES:

The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services. The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud. Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.

Qualifications

Bachelor's or master's degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing... 0 to 3 years' experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices. Experience of Docker/Kubernetes deployment and cloud applications desirable Use of Linux and Git Practice of SQL and experience with NoSQL databases (document, graph) Autonomy, curiosity, rigor

Additional Information

Flexible working model

after the 1st month

Great place to work:

central and modern office

Opportunities to learn:

budget every year for training, languages platform, e-learning platform, dedicated development program...

Career opportunities:

Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field *

Health care