Intuit
Senior AI Scientist - Consumer Fraud Risk
$180K–$244K
Mountain View, California · Senior · Full-time · Posted Sep 17, 2026
- Experience
- 3+ years in Data Science / Machine Learning and related areas.
- Education
- Advanced Degree (MS and above) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
About the job
Develops and owns machine-learning models and risk strategies to detect and prevent fraud across consumer money products.
What you'll do
- Build, evaluate, deploy, monitor, maintain, and defend fraud and credit-risk models across their full lifecycle.
- Partner with product, policy, engineering, operations, and compliance teams to shape risk strategies and decisioning roadmaps.
- Improve scalable ML and data infrastructure and research methods for evolving fraud challenges.
What they ask for
- Advanced degree (MS and above) in a quantitative discipline such as computer science, data science, AI, mathematics, statistics, or physics.
- 3+ years of experience in data science, machine learning, or related areas.
- Experience with machine-learning techniques and deep-learning frameworks such as TensorFlow or PyTorch.
- Proficiency in Python and SQL; expertise building reusable ML data pipelines and frameworks.
Nice to have
- Relevant money-fraud or credit-risk experience; graph modeling or experimentation design and analysis.
- Experience with AWS or GCP, Apache Airflow, Vertex AI, MLOps, or other listed preferred tools and methods.
Pay
Mountain View $180,000 - $243,500 USD base salary
Tools
TensorFlow, PyTorch, Python, SQL, AWS, GCP, Apache airflow, Vertex AI
AI focus
Applies AI/ML and statistical methods to detect and prevent consumer fraud and credit risk, including model development, deployment, monitoring, and risk strategy.
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