Job Description
Amazon’s International Machine Learning team, which builds ML for its consumer businesses outside the US, is hiring a Data Scientist II in Gurugram. The team’s problems include product bundle recommendations, risk models for financial transactions, product attribute extraction and address quality. This posting’s qualifications point to lending: experience in fintech or credit risk is highly preferred, as is building models across the credit lifecycle, from pre-underwriting and underwriting to collections.
At a glance
- Role: Data Scientist II, International Machine Learning
- Posted: 26 August 2026
- Focus: Credit risk and lending models, statistical modelling
- Location: Gurugram, Haryana, India
- Job ID: 10515647
- Apply: open until filled (re-checked 13 October 2026)
About the credit risk data scientist role
- Build and deploy ML and statistical models that optimise large volumes of daily transactions
- Analyse and model very large datasets to solve real business problems
- Own end-to-end business problems and metrics
- Develop models across the credit lifecycle, such as eligibility, underwriting and collections
What Amazon is looking for
- At least 2 years of data scientist experience
- At least 3 years with SQL, Python, or statistical software such as R, SAS or MATLAB
- At least 3 years with ML and statistical modelling tools and techniques
- Experience applying theoretical models in an applied setting
- Experience in fintech, lending or credit risk (highly preferred), including models across the credit lifecycle
Nice to have
- A PhD in a STEM field
- Experience as a data scientist at a large technology company
- Clear written communication of complex ideas
- At least 3 years of building models across the credit lifecycle
Pay and location
Amazon’s posting does not state a salary; pay is discussed during the hiring process. The role is based in Gurugram, 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
- Credit risk basics: revise scorecards, PD models, reject inference, vintage analysis and model monitoring (PSI, KS, Gini).
- Regulated models: be ready to discuss explainability and fairness for lending decisions.
- End-to-end ownership: prepare a story where your model changed a business metric, with numbers.
- SQL: expect hands-on data questions.
- 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.