Job Summary
Apply data science and machine learning to identify fraud across a range of financial risk areas. You will examine fraud patterns, develop predictive features, and train detection models, working with senior data scientists and engineers to help move solutions into production. The role also involves sharing insights with both technical and non-technical audiences.
Responsibilities
- Investigate patterns and behaviors associated with fraud across financial risk domains.
- Develop features and train machine learning models for fraud detection.
- Partner with senior data scientists and engineers to support model deployment.
- Communicate analyses and findings to technical and non-technical stakeholders.
Qualifications
- Bachelor’s degree in a quantitative field.
- At least one year of professional experience in data science or machine learning.
- Proficiency in Python.
- Familiarity with statistical modeling and cloud platforms.
Experian provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
