Directly sponsored by several members of the Group Executive Committee the Data Lab brings together expertise in Data Science and Software Engineering to design develop and deploy operational solutions that improve the companys risk management business processes products and services. The steadily growing team now has around 30 members mainly based in Paris as well as in Toronto and Casablanca.
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. The technology stack is mainly based on Python but also includes ReactJS and Java. It covers 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.
The team continuously delivers several projects with short development lifecycles and operational deployments of impacting solutions. For example:
- APIs that leverage our data for major international accounts
- Web scraping and open data sourcing in all geographies
- Data processing pipelines to feed Machine Learning models and AI solutions
- User Interfaces to expose AI-powered solutions developed by the team
Your mission:
- You work in pairs or small teams on innovative projects to design and develop solutions deployed on our container infrastructures or in the cloud and implement production monitoring
- You participate in code reviews with other team members to share knowledge and ensure the quality of developments
- You propose technical solutions and participate in technology watch.
Qualifications :
The profile we are looking for:
- Engineering degree in Software Engineering or equivalent.
- Python application development with high quality standards and implementation of best practices in code reviews and continuous integration.
- Knowledge of CI/CD pipelines and Docker/Kubernetes deployments.
- Use of SQL and NoSQL databases (MongoDB Neo4j ElasticSearch Redis etc.)
- Implementation of monitoring dashboards (Kibana Grafana)
- Autonomy curiosity teamwork and knowledge sharing
- English: interactions with teams all around the world
Other appreciated skills :
- Designing high-availability low latency application architectures
- Skills in data science libraries (e.g. Pandas)
- Knowledge of Linux administration
- Cloud application deployment and infrastructure-as-code
- Front-end programming (React Angular etc.)
- DevOps
Additional Information :
Recruitment process :
- Technical interview (video) including a review of the candidates professional background estimated duration: 1 hour
- Technical assessment in Python and DevOps without AI assistance preferably in our offices estimated duration: 3 hours
- Interview with the human resources department estimated duration: 45 minutes
- Job offer
Remote Work :
No
Employment Type :
Full-time
Directly sponsored by several members of the Group Executive Committee the Data Lab brings together expertise in Data Science and Software Engineering to design develop and deploy operational solutions that improve the companys risk management business processes products and services. The steadily g...
Directly sponsored by several members of the Group Executive Committee the Data Lab brings together expertise in Data Science and Software Engineering to design develop and deploy operational solutions that improve the companys risk management business processes products and services. The steadily growing team now has around 30 members mainly based in Paris as well as in Toronto and Casablanca.
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. The technology stack is mainly based on Python but also includes ReactJS and Java. It covers 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.
The team continuously delivers several projects with short development lifecycles and operational deployments of impacting solutions. For example:
- APIs that leverage our data for major international accounts
- Web scraping and open data sourcing in all geographies
- Data processing pipelines to feed Machine Learning models and AI solutions
- User Interfaces to expose AI-powered solutions developed by the team
Your mission:
- You work in pairs or small teams on innovative projects to design and develop solutions deployed on our container infrastructures or in the cloud and implement production monitoring
- You participate in code reviews with other team members to share knowledge and ensure the quality of developments
- You propose technical solutions and participate in technology watch.
Qualifications :
The profile we are looking for:
- Engineering degree in Software Engineering or equivalent.
- Python application development with high quality standards and implementation of best practices in code reviews and continuous integration.
- Knowledge of CI/CD pipelines and Docker/Kubernetes deployments.
- Use of SQL and NoSQL databases (MongoDB Neo4j ElasticSearch Redis etc.)
- Implementation of monitoring dashboards (Kibana Grafana)
- Autonomy curiosity teamwork and knowledge sharing
- English: interactions with teams all around the world
Other appreciated skills :
- Designing high-availability low latency application architectures
- Skills in data science libraries (e.g. Pandas)
- Knowledge of Linux administration
- Cloud application deployment and infrastructure-as-code
- Front-end programming (React Angular etc.)
- DevOps
Additional Information :
Recruitment process :
- Technical interview (video) including a review of the candidates professional background estimated duration: 1 hour
- Technical assessment in Python and DevOps without AI assistance preferably in our offices estimated duration: 3 hours
- Interview with the human resources department estimated duration: 45 minutes
- Job offer
Remote Work :
No
Employment Type :
Full-time
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