As a Senior Staff Data Scientist, you will assist in the development, monitoring, implementation and management of models supporting the transformation of Business Banking
Job Summary
As a Senior Staff Data Scientist, you will assist in the development, monitoring, implementation and management of models supporting the transformation of Business Banking.
You will be familiar with the latest and most exciting patterns in AI and Data Science development, applying Generative AI and agent-oriented AI design patterns.
The team is focused on executing a strong path towards a customer-obsessed application of AI, to deliver critical productivity yields for bankers and exceptional value management for customers.
Matching Summary
As a Senior Staff Data Scientist, you will assist in the development, monitoring, implementation and management of models supporting the transformation of Business Banking.
Skills & Requirements
Must-have
Generative AI applications
Machine learning systems
Agentic and multi-agentic AI system design
Cutting-edge Gen AI tools
Semantic Kernel, LangGraph, OpenAI Agents
Designing and implementing evals for GenAI projects
Retrieval-augmented-generation (RAG) pipelines
Vector-database design
Advanced prompt-engineering
Architecting and deploying multi-agent GenAI ecosystems
MLOps & DevSecOps expertise
Cloud-native GenAI services
Large-scale data platforms
Nice-to-have
Thought leadership on emerging Gen AI technologies
Coaching and mentoring junior team members
Interpretable and explainable Gen AI solutions
Automating data-driven processes
Strong growth mindset
AI-powered productivity tools
Domain depth in banking use-cases
Leading cross-functional squads
Published research, patents, or open-source contributions
Key Requirements
Senior Staff level experience
Experience with large, complex datasets
Experience with corporate environments
Experience with MLOps teams, Solution Architects, and Product Owners
Experience with cloud platforms (AWS, Azure)
Experience with data platforms (Databricks, Snowflake)
Experience with banking & financial-services use-cases