Data Scientist

About the company:

Making Trade Happen

Coface (https://www.coface.com) is a leading global player in credit insurance and risk management helping companies to secure their trade activities worldwide. Coface is also a recognized expert in corporate information, bonding, political risk, debt collection and factoring.

Coface is a team of 4,500 people of 78 nationalities across nearly 60 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 75 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 organization 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!

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.

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

• 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.

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

Key Qualifications & Experience:

• Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing…
• Min 2 to 5 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

What can we offer you?

• Flexible working model: up to 3days of home office per week after the 1st month
• Opportunities to learn: 450Euro 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

Diversity, Equity & Inclusion

Coface aims to be a leader in Diversity, Equity, and Inclusion within the Trade Credit-Insurance industry. We are committed to creating an environment where every employee can thrive, fostering a culture of belonging and fairness. By attracting top talent from diverse backgrounds, we strive to be a model for an inclusive employee experience.

As an equal opportunity employer, Coface welcomes all qualified applicants without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability, or any other legally protected characteristics.