Applied AI/ML Data Scientist - Vice President
On-site · New York City, New York, United States
Job Summary
VP-level Applied AI/ML Data Scientist responsible for translating banking challenges into scalable AI/ML and LLM solutions; define and deliver high-value use cases with Global Banking & Payments stakeholders, build COS agents to automate onboarding & service workflows, develop LLM/agentic systems with RAG and guardrails, own end-to-end pipelines and MLOps, leverage AWS and data-ecosystem tooling, ensure governance and compliance, drive adoption through experimentation and mentoring, and translate business needs into production-ready AI solutions across cloud and hybrid environments.
Required Qualifications
- 7–10+ years building and deploying ML models in production, ideally in banking, payments, or similarly regulated domains
- Strong Python & SQL; proficiency with pandas, NumPy, scikit-learn, XGBoost, and at least one deep learning framework (PyTorch or TensorFlow); solid software engineering practices
- MLOps experience: containerization/orchestration, experiment tracking, model registries, monitoring, drift detection, and structured change management
- Cloud fluency: AWS services (EKS, EC2, Lambda), distributed query engines, and data warehousing
- Stakeholder management: proven ability to translate banking workflows and commercial objectives into technical requirements; strong communication across front office, Product, risk, compliance, and technology
- Data governance awareness: familiarity with KYC/AML context and model risk frameworks
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