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 Labs work includes solid Software Engineering practices to achieve operational integrations in internal tools and client applications. Data Labs developments also include data extractions from the companys 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.
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
Qualifications :
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 candidates 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
Additional Information :
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.
Remote Work :
No
Employment Type :
Full-time
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 modelsExtracting information from images and documents with Transformers and LLMsIdentifying companies with a custom ...
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 Labs work includes solid Software Engineering practices to achieve operational integrations in internal tools and client applications. Data Labs developments also include data extractions from the companys 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.
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
Qualifications :
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 candidates 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
Additional Information :
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.
Remote Work :
No
Employment Type :
Full-time
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