Principal Consultant - Data Scientist Lead
Core
Lead hands-on design, diagnostics, and optimization of fraud models, ML platforms, and GCP infrastructure to reduce costs and improve reliability for financial clients.
Role type
Principal Consultant - Data Scientist Lead (ML Platform & GCP Engineering)
Builds
Fraud detection models, optimized ML pipelines, and scalable GCP infrastructure for financial services.
Domain
Financial Services / Machine Learning Engineering / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Google Cloud Platform (GCP) optimization, Python, SQL, Spark, CI/CD, automated testing, fraud modeling, distributed data processing, cost optimization, model observability
Preferred skills
Feedzai experience, Generative AI/Agentic AI in regulated environments, measurable cloud/ML cost savings demonstration, production monitoring expertise
Technologies
Google Cloud Platform, Spark, Python, SQL, Feedzai
Responsibilities
Lead hands-on design and optimization of compute, storage, and network services on GCP; Support end-to-end development and deployment of fraud ML models; Optimize data pipelines for cost efficiency and resilience; Develop and tune large-scale batch and streaming workloads; Apply software engineering best practices including code review and testing.
Seniority
Principal, hands-on IC with strategic guidance