About this role
This position suits an experienced data scientist with a background in machine learning engineering who wants to build graph-native models and fraud detection systems in Bangalore. Bureau is hiring a Senior Data Scientist to design and deploy artificial intelligence models for risk decisioning at its Bangalore office.
Role Overview
Bureau seeks a Senior Data Scientist to join the team in Bangalore. The professional will develop statistical and deep learning models to combat fraud and identity risk across global banking and e-commerce networks.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Bureau operates a unified risk decisioning platform addressing compliance, fraud, and transaction risks powered by an identity knowledge graph containing over one billion records. More than 150 banks, fintech companies, retailers, and digital platforms use the technology globally. The enterprise has raised over 50 million dollars from investors such as Sorenson Capital and PayPal Ventures while expanding from the Asia-Pacific region into the Americas, Europe, and other markets.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Senior Data Scientist role?
The position is based in Bangalore.
How many years of experience are required?
Candidates must have four to seven years of experience in data science, artificial intelligence, or machine learning engineering roles.
What educational qualifications are needed?
A Bachelor of Science, Master of Science, or Doctor of Philosophy degree in Machine Learning, Computer Science, Mathematics, Statistics, or a related field is required.
What technical skills are expected from applicants?
Applicants need strong Python skills, experience with cloud platforms like AWS, Databricks, or Azure, and familiarity with SQL, DBT, Athena, or BigQuery.
What benefits does the company offer?
Bureau provides competitive salary, potential equity, health benefits, flexible paid time off, and a learning budget.