Applied Scientist II, Amazon FinAuto (Anomaly and Fraud Detection in Financial Data), Bengaluru
Job Description
Amazon’s FinAuto organisation is hiring an Applied Scientist II in Bengaluru to apply machine learning, statistics and causal inference to Amazon’s financial transaction data. A main focus is detecting anomalous, fraudulent, abusive and wasteful transactions, alongside finding new places where ML can automate finance processes. A PhD, or a master’s with three years of experience, meets the degree requirement.
At a glance
- Role: Applied Scientist II, FinAuto
- Posted: 18 June 2026
- Focus: Anomaly and fraud detection, causal inference, finance automation
- Location: Bengaluru, Karnataka, India
- Job ID: 10452416
- Apply: open until filled (re-checked 13 October 2026)
About the FinAuto applied scientist role
- Find actionable insights in large volumes of transaction data using ML, statistics or causal inference
- Research and build new approaches to detect anomalous, fraudulent, abusive and wasteful transactions
- Build scalable ML solutions for business problems and identify new areas to apply them
- Put models into production with developers and business teams
- Mentor other scientists and engineers in ML techniques
About FinAuto
FinAuto builds the systems that capture, process and report Amazon’s financial transactions: customer purchases, payments to vendors and partners, inventory movements, commissions and taxes in hundreds of jurisdictions. Its machine learning and data science group applies ML, statistics and causal inference to that transaction data to automate and optimise finance processes.
What Amazon is looking for
- A PhD, or a master’s degree and at least 3 years of experience in CS, CE, ML or a related field
- Programming in Java, C++, Python or a related language
- Experience in algorithms and data structures, parsing, numerical optimisation, data mining, or parallel, distributed or high-performance computing
Nice to have
- Developing and implementing deep learning algorithms, especially for computer vision
- Professional software development
Pay and location
Amazon’s posting does not state a salary; pay is discussed during the hiring process. The role is based in Bengaluru, India.
How to apply
Apply through the official Amazon job posting. Amazon’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 13 October 2026. Amazon lists the minimum and preferred qualifications on the posting; read both before applying. Check the posting for location and work-authorisation details before you apply.
See all our artificial intelligence jobs, or browse more research jobs on ResearchJobs.in.
Hiring institution: Amazon
Official advertisement: www.amazon.jobs
How to prepare for this application
- Anomaly detection: bring an example with rare, imbalanced labels and explain how you judged success.
- Causal thinking: the posting names causal inference; be ready to separate correlation from effect.
- Finance data: no finance background is required, but show you can learn the business rules.
- Senior role too: FinAuto has a separate senior applied scientist posting.
- Leadership Principles: Amazon interviews lean on them; prepare two or three STAR stories for each.
About Amazon in India
Amazon runs large science and engineering teams in India, including in Bengaluru, Hyderabad, Chennai, Pune and Gurugram. Applied scientists and data scientists work on machine learning problems across retail, logistics, advertising, devices, payments and cloud services.
