Sr Principal Scientist, EU INTech
Amazon
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This role on the market
2,570 open scientist roles across 384 companies are on ApplySarthi right now, most of them in Bengaluru (141), Hyderabad (77), Delhi NCR (29).
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What scientist roles keep asking for: Python (62%), Machine learning (51%), SQL (29%), LLMs (20%), Deep learning (18%), R (18%), C++ (18%), Generative AI (15%) — counted across their open postings here.
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Amazon has 17,064 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, LLMs. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
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Practise the Sr Principal Scientist, EU INTech at Amazon interview free →The Amazon International Technology (INTech) team owns the discovery and delivery of Amazon's engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships Basic qualifications: Basic qualifications • PhD in Computer Science, Engineering, Mathematics, or a related field. • Demonstrable of experience building machine learning models • A track record of world-class publication in related disciplines. • Demonstrated expertise in both theory and practice in Natural Language Processing / Understanding, Machine Learning, and Computer Vision. • Hands-on experience with a broad range of qualitative and quantitative research methods. • Experience multi-tasking and taking input from various teams and sources to scope research work with effective prioritization. • Excellent verbal and written communication skills with demonstrated experience effectively advising senior management and executives. Preferred: Preferred qualifications • Experience applying GenAI / LLMs to production systems at scale. • Experience operating science in a regulated, privacy-constrained environment (e.g. GDPR, multi-market). • Exceptional ability to present complex technical information in a clear and concise manner to a variety of audiences, including large technical audiences, senior management, and customers. • Exceptional relationship skills, including the ability to discover true requirements, recommend alternative technical and business approaches, and lead engineering efforts to meet timelines with optimal solutions. • Track record of developing intellectual property. • Participation on academic program committees and open-source programs. • Hands-on programming experience including writing production-quality code, building prototypes, and reviewing code with applied scientists and engineers. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Listed on amazon · posted 2026-11-12. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.