Associate Data Scientist

About the role

Bureau is a unified risk decisioning platform for compliance, fraud and transaction risks, built on a 1 billion+ identity knowledge graph and used by banks, fintechs, retailers and digital platforms worldwide. It is hiring an Associate Data Scientist in Bangalore to work on graph-native models and statistical, AI/ML and deep learning models for fraud and risk detection.

Key responsibilities

• Build and maintain features and components for graph-native models (GNNs, embeddings, graph algorithms) used to detect fraud, collusion and identity risk.
• Support the design, training and evaluation of statistical, AI/ML and deep learning models for fraud and risk under a senior data scientist's guidance.
• Run experiments, clean and prepare data, and do light pipeline work to help tune model performance.
• Write production-quality code backed by statistics and ML, and help build ML observability for the models.
• Document your work so that other team members can pick it up.

Required profile

• BS/MS in ML, CS, Math, Stats or a related field; 1 to 3 years in DS/AI/ML engineering roles (internships with real shipped work count).
• Experience moving a model from a notebook toward something production-adjacent, ideally with fraud, risk, payments or compliance data; strong fundamentals are valued over domain experience.
• Comfort with ambiguity and unlabelled data, and the initiative to ask questions and look things up.

Required skills

• Strong Python.
• Working knowledge of SQL.
• Exposure to a cloud platform (AWS, Databricks or Azure) is a plus.
• Prior exposure to graph-based thinking (coursework or personal projects) is a plus, not required.

What we offer

• Competitive salary plus potential equity.
• Health benefits and flexible PTO.
• Learning budget.