Data Scientist
Core
Build, evaluate, and explain analytical solutions including predictive models, scorecards, and decision rules to drive business outcomes for clients.
Role type
Hands-on Data Scientist (Client-facing)
Builds
Production analytical models and decisioning solutions for enterprise clients
Domain
Decision Intelligence, Risk Analytics, Fintech/Banking
Required skills
Python, machine learning model building, data manipulation, model evaluation metrics, client communication, technical documentation
Preferred skills
Financial services domain experience, MLOps, model deployment, credit risk/fraud use cases, presentation skills
Technologies
Python, Copilot, Codex, Claude Code, OpenCode, MLflow
Responsibilities
Support client engagements across data science use cases, build and explain analytical solutions, prepare client-ready insights and recommendations, document analysis and code, collaborate with global teams
Seniority
Mid-level, hands-on IC