
AI Data Scientist
Consort Group
full-time
Posted on:
Location Type: Hybrid
Location: Paris • France
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Salary
💰 €55,000 - €60,000 per year
About the role
- Scoping and development of AI solutions
- Conduct scoping studies for the integration of Microsoft Azure Foundry at BNPP
- Design and develop AI agents for extracting financial data
- Define data & AI architectures tailored to business needs
- Implement data processing pipelines
- Develop and train AI models for financial data analysis
- Collaborate with business teams to translate requirements into technical solutions
- Ensure the quality, performance, and scalability of developed solutions
- Maintain and evolve AI solutions in production
- Oversee the performance and reliability of AI agents
- Optimize existing models and pipelines
- Provide monitoring and incident management
- Document solutions and ensure their maintainability
- Support users in adopting the tools
- Contribute to the continuous improvement of data & AI practices
Requirements
- Minimum 5 years of experience in demanding DevOps environments
- Microsoft Azure Foundry / Azure AI
- Python (data science, machine learning)
- Financial data processing
- Azure cloud environments
- DevOps and CI/CD tools
- Experience working in Agile methodology
Benefits
- Thoughtful, people-focused onboarding
- Close, accessible management
- Ongoing training opportunities
- Concrete commitments: inclusion, equality, solidarity
- Comprehensive benefits package: health insurance, meal card, works council (CSE) benefits, income protection insurance
- A culture of feedback and meaningful projects
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI solutions developmentdata processing pipelinesAI models developmentfinancial data analysisPythonMicrosoft Azure FoundryAzure AIDevOpsCI/CD toolsAgile methodology
Soft Skills
collaborationrequirement translationquality assuranceperformance optimizationincident managementdocumentationuser supportcontinuous improvement