Senior Data Scientist
Bureau (company site, opens in a new tab)4–7 yrsBengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and extend graph-native models (GNNs, embeddings, and custom graph algorithms) to detect fraud, collusion, and identity risk in banking and e-commerce networks.
- Design, deploy, and maintain production-grade statistical, AI/ML, and deep learning models for fraud and risk, including real-time serving.
- Run experiments and maintain data pipelines to fine-tune model performance and ship ML software with observability features.
Minimum Requirements
- Bachelor's, Master's, or PhD in ML, Computer Science, Math, Statistics, or related field.
- 4 to 7 years of experience in Data Science, AI, or ML Engineering roles.
- Strong proficiency in Python, cloud platforms (AWS/Databricks/Azure), SQL, DBT, and Athena/BigQuery.
- Experience shipping production ML models, ideally in fintech fraud, risk, payments, or compliance domains.
Ideal Candidate Profile
- Experienced in graph modeling techniques for fraud and risk analytics.
- Capable of working autonomously in ambiguous, unlabelled data environments to deliver business impact.
- Demonstrates focus on building scalable, production-grade ML systems within fintech or related high-risk domains.