The Data Scientist will contribute to the design, industrialization, and performance of generative AI solutions for private banking and asset management
Job Summary
The Data Scientist will contribute to the design, industrialization, and performance of generative AI solutions for private banking and asset management.
This role involves strong collaboration with Data Engineering, Product Owners, and business teams to ensure performance, compliance, and scaling of AI use cases.
The CoE's mission is to implement the AI trajectory at the WAM level across all geographies, pooling expertise and resources to ensure a coherent, compliant, and efficient approach to AI solutions.
Matching Summary
The Data Scientist will contribute to the design, industrialization, and performance of generative AI solutions for private banking and asset management.
Skills & Requirements
Must-have
Machine learning and deep learning models
Generative AI solutions
Python, R, PySpark mastery
Azure OpenAI Service and Azure Document Intelligence
Statistical methods and modeling techniques
Nice-to-have
Strong analytical skills
Technological curiosity
Collaborative spirit and autonomy
Agility and experimentation capacity
Key Requirements
Minimum 5 years experience as Data Scientist
Experience with Microsoft Fabric
Data quality, security, and governance management skills