{"id":48190,"date":"2025-09-30T17:33:36","date_gmt":"2025-09-30T12:03:36","guid":{"rendered":"https:\/\/www.foundit.in\/career-advice\/?p=48190"},"modified":"2025-10-16T16:15:00","modified_gmt":"2025-10-16T10:45:00","slug":"amazon-data-science-internship-apply","status":"publish","type":"post","link":"https:\/\/www.foundit.in\/career-advice\/amazon-data-science-internship-apply\/","title":{"rendered":"Amazon Data Science Internship 2026: Apply, Role, Stipend"},"content":{"rendered":"\n

Amazon is now accepting applications for its prestigious Data Science Internship 2026<\/strong> in India. This is more than just a learning experience, it’s a launchpad into one of the world\u2019s most data-driven companies. <\/p>\n\n\n\n

Whether you’re a final-year or penultimate-year student in Computer Science, Engineering, Statistics, or a related field, the Amazon Data Science Internship<\/strong> 2026 offers you hands-on exposure to real datasets, high-impact projects, and collaborative problem solving. <\/p>\n\n\n\n

And with a stipend that can go up to \u20b91 lakh\/month, it’s also one of the most well-paid internship opportunities in the tech space.<\/p>\n\n\n\n

This article provides a comprehensive overview of everything you need to know about Amazon data science internship 2026, from eligibility and responsibilities<\/strong> to stipend details<\/strong> and application tips<\/strong>.<\/p>\n\n\n\n

\r\n
\r\n\ud83d\udd3d Table of Contents<\/strong><\/summary>\r\n
    \r\n
  1. About the Amazon Data Science Internship<\/a><\/strong><\/li>\r\n
  2. Eligibility Criteria<\/a><\/strong><\/li>\r\n
  3. How to Apply for Amazon Internship<\/a><\/strong><\/li>\r\n
  4. Key Responsibilities of a Data Science Intern<\/a><\/strong><\/li>\r\n
  5. Stipend and Internship Benefits<\/a><\/strong><\/li>\r\n
  6. Selection Process and Timeline<\/a><\/strong><\/li>\r\n
  7. Tips to Crack the Amazon Internship Interview<\/a><\/strong><\/li>\r\n
  8. Frequently Asked Questions<\/a><\/strong><\/li>\r\n<\/ol>\r\n<\/details>\r\n<\/div>\n\n\n\n

    About the Amazon Data Science Internship<\/h2>\n\n\n\n

    The Amazon Data Science Internship 2026<\/strong> is a full-time, paid internship where students get to solve real-world business problems using machine learning, statistical modelling, and big data tools. The programme runs for 12\u201316 weeks and is open to candidates from technical and quantitative backgrounds like Computer Science, Statistics, Mathematics, and Engineering.<\/p>\n\n\n\n

    What is the Amazon data science internship about?<\/h3>\n\n\n\n

    It\u2019s a hands-on, project-based internship designed for students who want to build and deploy data science solutions at scale. Interns work on live business problems in teams like Amazon Ads, Alexa AI, or Supply Chain Analytics. You\u2019ll collaborate with scientists, engineers, and product managers while applying tools like Python, SQL, and AWS to build impactful solutions.<\/p>\n\n\n\n

    Where and how long is the Amazon data science internship?<\/h3>\n\n\n\n

    Most internships are 12 to 16 weeks long and based in Amazon\u2019s key India offices \u2014 primarily in Bangalore, Hyderabad, and Chennai.<\/strong> Some roles may offer hybrid flexibility depending on the project and team.<\/p>\n\n\n\n

    Related: Deloitte Data Science Internship: Apply Now<\/a><\/strong><\/p>\n\n\n\n

    What do Amazon interns actually work on?<\/h3>\n\n\n\n

    Interns may work on anything from customer demand forecasting to fraud detection models. Projects often involve building pipelines for data cleaning, running statistical tests, and developing machine learning models that feed into Amazon’s large-scale systems. You won\u2019t be shadowing others \u2014 you\u2019ll be expected to contribute and present results.<\/p>\n\n\n\n

    Who supports you during the Amazon data science internship?<\/h3>\n\n\n\n

    Every intern is assigned a manager and a technical mentor. Weekly check-ins, demo days, and feedback sessions are part of the experience. Amazon\u2019s mentorship system is structured to help you ramp up quickly and contribute independently by the mid-point of the internship.<\/p>\n\n\n\n