If you’re a student passionate about statistics, machine learning, or real-world problem-solving, the Amazon Data Science Internship 2025 could be your launchpad to a career at one of the world’s most data-driven companies. This internship offers a chance to work with Amazon’s vast infrastructure, apply cutting-edge data techniques, and gain real-world exposure to business challenges. Whether you’re in your pre-final year or pursuing a PhD, this opportunity can shape your professional journey.
This guide will cover everything you need to know—from internship locations and eligibility to expected roles, salary, and how to apply.

About Amazon Data Science Internship
The Amazon Data Science Internship is a 10- to 12-week program aimed at students from quantitative and analytical backgrounds. Interns are assigned real projects across departments such as AWS, Retail, Prime Video, and Alexa. These aren’t just side tasks—you’ll work on core challenges that impact Amazon’s business and customer experience.
This internship allows students to dive deep into data modeling, prediction algorithms, and experimentation platforms while gaining exposure to Amazon’s leadership principles and work culture.
Internship Highlights:
- Duration: 10–12 weeks
- Type: Paid, full-time
- Mode: Onsite or hybrid
- Departments: AWS, Retail, Prime Video, Alexa, etc.
Amazon Internship Locations and Work Setup
Amazon internship opportunities are offered in India and globally, with most positions based out of tech hubs such as Bangalore, Hyderabad, Pune, and Chennai. Work setups may vary by team—some roles are onsite, others hybrid, and a few are remote-friendly.
For interns who need to relocate, Amazon typically offers relocation support including travel, accommodation arrangements, and settling-in assistance.
Global Internship Locations:
- India: Bengaluru, Hyderabad, Pune, Chennai
- USA: Seattle, New York, San Francisco
- Europe: London, Luxembourg, Berlin
Key Responsibilities and Projects
Interns work alongside full-time Amazon employees on projects that use data to drive decisions, automate systems, or create customer-focused innovations.
Project Examples:
- Designing predictive models for inventory or demand forecasting
- Performing A/B testing for product features or campaigns
- Developing dashboards for data visualization and executive reporting
- Using natural language processing (NLP) to extract insights
The work is hands-on and impactful. You’ll learn what it means to work in a fast-paced, results-driven tech environment.
Amazon Data Science Internship Eligibility Criteria
Amazon has a competitive internship selection process, and the eligibility criteria are focused on skills and academic background.
Basic Requirements:
- Currently enrolled in a Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or related field
- Proficiency in Python, R, or SQL
- Good understanding of machine learning algorithms and statistical models
- Strong communication and analytical skills
- Prior project or internship experience is a plus but not mandatory
International and domestic applicants are welcome, provided they meet academic and technical qualifications.
How to Apply for Amazon Internship 2025?
Applications usually open between August and December for the following summer. You’ll need to apply via Amazon’s official job portal.
Step-by-Step Application Guide:
- Visit Amazon Jobs
- Filter by “Internship” and select “Data Science Internship”
- Review the job description and preferred qualifications
- Upload a strong resume and, if possible, a cover letter
- Submit your application and monitor email updates
You can also apply via LinkedIn or campus placement cells where Amazon is hiring.
Amazon Selection Process and Interview Tips
Amazon’s selection process typically includes 2 to 3 rounds, conducted either online or through their virtual tool Amazon Chime.
Interview Rounds:
- Online Assessment: Tests your skills in Python, SQL, statistics, and data interpretation
- Technical Interview: Includes machine learning, probability, and business cases
- Behavioral Interview: Based on Amazon’s 16 Leadership Principles
Tips for Success:
- Revise fundamentals: stats, hypothesis testing, regression
- Practice coding on LeetCode, HackerRank, or StrataScratch
- Use STAR format (Situation, Task, Action, Result) for behavioral responses
Amazon Interns Stipend and Perks
Amazon offers competitive compensation for its interns. In India, the stipend generally ranges from ₹30,000 to ₹45,000 per month, depending on location and academic level.
Internship Benefits:
- Monthly stipend and bonuses
- Free meals and transportation (if onsite)
- Relocation and accommodation support
- Mentorship by senior engineers or data scientists
- Access to Amazon’s tech stack and internal learning platforms
Exceptional performers often receive pre-placement offers (PPOs).
Skills You Will Learn During the Amazon Internship 2025
This Amazon internship is a great way to bridge the gap between academic learning and practical application. It helps build both soft skills and technical expertise.
Core Skills:
- Data cleaning, processing, and exploratory data analysis
- Machine learning pipelines and model deployment
- Dashboard creation using tools like Tableau or QuickSight
- Communication and storytelling through data
- Cross-team collaboration and agile methodology
FAQs
Is the Amazon Data Science Internship remote or onsite?
The internship mode depends on the team and location. While many internships are onsite, Amazon does offer hybrid or remote-friendly roles for selected positions and teams. Make sure to confirm this in your job listing.
What is the average stipend for Amazon Data Science Interns in India?
Interns typically earn between ₹30,000 to ₹45,000 per month. The amount may vary depending on the city, academic level, and internship department. In some cases, Amazon also provides performance-based bonuses.
Can freshers apply for the Amazon internship?
Yes, final-year and pre-final-year students are eligible to apply. Even if you don’t have prior internship experience, having a strong portfolio and clear understanding of data science concepts can increase your chances.
Do I need previous internship experience to apply?
Not necessarily. Amazon evaluates candidates on skills, problem-solving approach, and clarity of thought. If you have worked on academic or personal data projects, make sure to showcase them in your resume.
When do applications open for the 2025 internship?
Applications generally open between August and December of the previous year. It’s best to apply early since Amazon follows a rolling recruitment process, and positions can close quickly.
Are international students allowed to apply?
Yes, Amazon accepts international candidates depending on the job location and visa eligibility. If you’re applying outside your country, make sure to check the work permit or visa sponsorship requirements.
Conclusion
The Amazon Data Science Internship 2025 is one of the most rewarding internships for data enthusiasts. With hands-on projects, great pay, and mentorship from top professionals, it offers a significant stepping stone into the world of data science and technology.
Apply early, prepare thoroughly, and you might just land an offer that opens the doors to a career at one of the world’s most influential tech companies.
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