Bureau
Senior Data Scientist
Bangalore. Posted a month ago
The role
You will build and extend graph-native models to detect fraud, collusion, and identity risk. You will design and deploy statistical, AI/ML, and deep learning models for fraud and risk.
What you will do
- Build and extend graph-native models to detect fraud, collusion, and identity risk across banking and e-commerce networks
- Design and deploy statistical, AI/ML, and deep learning models for fraud and risk, including real-time serving
- Run experiments and light data pipeline work to fine-tune model performance
- Ship production-grade software backed by statistics and ML, with ML observability built in
Required qualifications
- BS/MS/PhD in ML, CS, Math, Stats, or related field
- 4 to 7 years in DS/AI/ML Engineering roles
- Strong Python
- Cloud experience (AWS/Databricks/Azure)
- SQL, DBT, Athena/BigQuery
- Track record shipping production ML, ideally in fintech fraud, risk, payments, or compliance
- Comfort with ambiguity, unlabelled data, and working autonomously to find business impact
Nice to have
- prior graph-modeling experience
Benefits
- Health benefits
- flexible PTO
- learning budget
About the company
Bureau is a unified risk decisioning platform for Compliance, Fraud, and Transaction risks. Its platform is a single decision-making engine powered by a 1 billion+ identity knowledge graph.