Senior Data Scientist – Fintech (Credit and Fraud)
Core
Build and deploy end-to-end machine learning models for credit risk, fraud detection, and real-time transaction decisioning to enable responsible lending and protect against financial crime.
Role type
Senior IC data scientist (credit risk & fraud)
Builds
Real-time decision engines, fraud/anomaly detection systems, acquisition scorecards, and behavioral limit management models.
Domain
Fintech, Credit Risk, Fraud Prevention (via careerplan.io/jobs/744000152623600-senior-data-scientist-fintech-credit-and-fraud-at-delivery-hero)
Deliverable
production ML models
Required skills
End-to-end model ownership, statistical and machine learning expertise, SQL, Python, CI/CD, production monitoring, feature engineering, experimentation design, AI tooling (coding agents/LLMs), judgment under ambiguity.
Preferred skills
Experience in fraud, credit risk, or payments; real-time/streaming decisioning systems; deep learning in production; LLM/agent-based solutions.
Technologies
BigQuery, Airflow, Metaflow, Vertex AI
Responsibilities
Own problems from framing to deployment; build and ship models; explain decisions to stakeholders; work with engineering on reliability; build data foundations; drive experimentation.
Seniority
Senior, hands-on IC
