Coface

Data Scientists / ML Engineers

Bois-Colombes, IDF, France · Remote (restrictions not stated) · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerCoface
LocationBois-Colombes, IDF, 92270, France
Work styleRemote (restrictions not stated)
Employment typeFull-time
Employer posted2 months ago

The team addresses many use cases for Data Science, involving a variety of Machine Learning and AI technologies. For example:

Scoring the risk of business failure with Machine Learning models
Extracting information from images and documents with Transformers and LLMs
Identifying companies with a custom search engine using embeddings
Building and mining knowledge graphs
Financial modeling and simulations

The Data Lab's work includes solid Software Engineering practices to achieve operational integrations in internal tools and client applications. Data Lab’s developments also include data extractions from the company’s databases and management of CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, Apache Airflow, and in the cloud.

Knowledge sharing through presentations between team members, training, and technology monitoring during dedicated time are all part of how the Data Lab operates.

Show full description

Your missions:

You join Data Lab team and most often work in pairs or small teams on innovative projects.
You design and develop complete solutions, from data extraction and modeling to deployment on our container infrastructures or in the cloud, and monitoring in production
You contribute to technology monitoring and knowledge sharing within the team

The profiles we are looking for:

Engineering degree or equivalent in Data Science
3 years of experience demostrating 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: interactions with business teams all around the world

Recruitment process:

Technical interview (video), including a review of the candidate's professional background — estimated duration: 1 hour
Technical assessment in Python and Machine Learning, without AI coding assistance — two Colab notebooks, approximately 45 minutes each
Interview with the human resources department — estimated duration: 45 minutes
Job offer

Hybrid position

Remote Work Benefits
All our employees benefit from 3 days of remote work per week and a maximum monthly subsidy of €30. Employees receive vouchers worth €12 for each day of remote work.

Language Training
Depending on the type of employment contract, Coface provides employees with access to an e-learning platform dedicated to learning 6 foreign languages.

Remote Work Equipment
An equipment allowance of €350 for remote work is available to employees, depending on the type of employment contract.

Electric Bike Purchase
A contribution towards the purchase of an electric bike is available to employees, depending on the type of employment contract.

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