Data Scientist
Core
Designs, develops, and programs methods to analyze unstructured big data sources to generate actionable insights for client services and product enhancement in the payments ecosystem.
Role type
Data Scientist (Predictive Modeling & ML)
Builds
Predictive models and automated processes for financial applications
Domain
Financial Services / Payments
Deliverable
production ML models
Required skills
Statistical mathematics, Machine learning algorithms, Data preprocessing, Feature selection, Model validation, Exploratory data analysis, Risk management compliance, RAG pipelines, Agentic process development
Preferred skills
PhD in Statistical Mathematics, Computer Science, Physics, or Computational Chemistry, Prior experience with agentic-based development
Technologies
Statistical tools, Machine learning frameworks, Data visualization tools
Responsibilities
Develop predictive models for customers, Execute all stages of model development and delivery, Validate and prepare data for model development, Work with scientists and engineers on state-of-the-art predictive models, Understand and comply with Risk Management program requirements
Seniority
Mid-level (2+ years experience)
