Senior Data Scientist / Deployment Engineer
Tasks
- Collect user feedback and define client roadmaps
- Deploy AI solutions to new clients
- Deploy fraud detection workflows
- Develop test and tune fraud detection models
- Execute ETL processes
- Implement detection workflows and automation
- Maintain client production environments
- Manage data pipelines
- Mentor junior data scientists
- Optimize client environments and pipelines
- Present solution performance to stakeholders
- Roll out platform features to existing clients
- Set up claim fraud detection for new clients
Perks/Benefits
- Extended parental leave
- Flexible hybrid working
- Learning and development opportunities
- Mental health benefits
- Paid time off
- Paid volunteering days
- Private pension matching
Skills/Tech-stack
C# | C++ | Data Engineering | Data Pipelines | ETL | Explainable AI | Fraud Detection | Java | Linux | Machine Learning | Model Deployment | Object-Oriented | Object-oriented programming | Python | SQL | Statistics
Education
N/A
Roles
Data Scientist | Deployment Engineer | Engineer | Scientist | Senior Data Scientist
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