Amazon is now accepting applications for its prestigious Data Science Internship 2025 in India. This is more than just a learning experience, it’s a launchpad into one of the world’s most data-driven companies.
Whether you’re a final-year or penultimate-year student in Computer Science, Engineering, Statistics, or a related field, the Amazon Data Science Internship 2025 offers you hands-on exposure to real datasets, high-impact projects, and collaborative problem solving.
And with a stipend that can go up to ₹1 lakh/month, it’s also one of the most well-paid internship opportunities in the tech space.
This article provides a comprehensive overview of everything you need to know about Amazon data science internship 2025, from eligibility and responsibilities to stipend details and application tips.
Table of ContentsAbout the Amazon Data Science Internship
The Amazon Data Science Internship 2025 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 12–16 weeks and is open to candidates from technical and quantitative backgrounds like Computer Science, Statistics, Mathematics, and Engineering.
What is the Amazon data science internship about?
It’s 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’ll collaborate with scientists, engineers, and product managers while applying tools like Python, SQL, and AWS to build impactful solutions.
Where and how long is the Amazon data science internship?
Most internships are 12 to 16 weeks long and based in Amazon’s key India offices — primarily in Bangalore, Hyderabad, and Chennai. Some roles may offer hybrid flexibility depending on the project and team.
Related: Deloitte Data Science Internship: Apply Now
What do Amazon interns actually work on?
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’t be shadowing others — you’ll be expected to contribute and present results.
Who supports you during the Amazon data science internship?
Every intern is assigned a manager and a technical mentor. Weekly check-ins, demo days, and feedback sessions are part of the experience. Amazon’s mentorship system is structured to help you ramp up quickly and contribute independently by the mid-point of the internship.
- Internship Duration: 12–16 weeks (usually full-time)
- Location: Bangalore, Hyderabad, Chennai
- Tools Used: Python, SQL, AWS, Pandas, Scikit-learn
- Format: In-office or hybrid (role-dependent)
- Outcome: Final project review + possible return offer (PPO)
Pro Tip: Most interns are expected to write production-quality code and back their work with strong metrics. If your experience is mostly academic, focus on how you’ve applied models practically, even in small university projects.
Also Read: Google Software Engineering Internship Summer 2026
Eligibility Criteria
Before you apply, make sure you meet the official Amazon Data Science Internship eligibility criteria. While Amazon looks for technical strength, it also values clarity of thinking, ownership, and learning agility.
Who is eligible for Amazon’s data science internship?
You must be a full-time student currently pursuing a:
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or related fields
- PhD candidates with a quantitative research background can also apply
Read: Juspay Hiring Challenge 2025: ₹40K Stipend
Which year of study should you be in?
The internship is open to students in their penultimate or final year. Amazon prefers candidates who are eligible for a return offer or full-time role within 6–12 months of completing the internship.
What skills do you need to qualify?
Here’s what the Amazon hiring team typically expects:
- Strong programming skills in Python or R
- Proficiency in SQL, data wrangling, and EDA
- Understanding of statistical models, A/B testing, or ML algorithms
- Good written and verbal communication skills
- Ability to break down ambiguous problems logically
Who should not apply?
If you’ve already graduated, or you’re not currently enrolled in an academic programme, this role won’t be a fit. Similarly, if you’re not comfortable with coding or basic ML concepts, it might be worth upskilling before applying.
Related: IBM SkillsBuild Virtual Internship: Apply Now
How to Apply for Amazon Internship
Amazon accepts internship applications through its official job portal and occasionally via campus placement cells. There’s no fixed application window — roles are filled on a rolling basis, so applying early improves your chances.
Where to apply for the Amazon Data Science Internship?
The most reliable way is through the official Amazon Jobs website. For the Data Scientist Intern role in India, use the listing at:
→ Amazon Data Science Internship Application
You can also monitor listings on campus job portals (IITs, NITs, BITS) and LinkedIn, but all final applications are routed through the Amazon Jobs platform.
How to apply step by step?
- Go to the official job link mentioned above
- Click “Apply Now” and sign in with your Amazon Jobs account
- Upload your updated CV (PDF recommended)
- Fill in basic academic and skill details (no long essay required)
- Submit and track application status under your dashboard
What to include in your resume?
Focus on project work and skills aligned to Amazon’s data science needs. If you’ve built a regression model, done A/B testing, or contributed to open-source data tools, mention that clearly. Use keywords like “model evaluation,” “predictive analytics,” “data cleaning,” and “Python pipelines.”
Real Projects Amazon Interns Have Worked On
- Customer Returns Forecasting: Built a model to predict return probabilities across product categories using historical purchase data and sentiment signals.
- Vendor Fraud Detection: Analysed billing patterns using anomaly detection algorithms to flag fraudulent transactions in the vendor network.
- Delivery ETA Optimisation: Used regression modelling to improve delivery-time predictions for rural pin codes, reducing customer complaints by 12% in A/B testing.
Related: Infosys Springboard Virtual Internship : Full Details
Stipend and Internship Benefits
Amazon offers one of the most competitive internship stipends in India’s tech sector. Interns are compensated not just for their time, but also for the impact and ownership they bring to projects. On top of that, there are several intangible benefits, mentorship, networking, and real exposure to scalable systems.
What is the stipend for Amazon data science interns?
The stipend for Amazon Data Science Interns in India typically ranges between ₹50,000 to ₹1,00,000 per month. Some roles, particularly those involving hybrid or in-office work in Bengaluru or Hyderabad, offer ₹1 lakh/month as a standard (Source: Glassdoor).
This amount is prorated based on your internship duration (usually 12–16 weeks) and is paid monthly. In some cases, interns are also eligible for performance bonuses, though this varies by team.
Read Also: Netflix Internship Program 2025
What benefits do Amazon interns get?
- Stipend: ₹50,000–1,00,000/month (depending on location & team)
- Mentorship: One-on-one guidance from technical leaders
- Amazon devices: Interns may receive laptops or work tools for project use
- Project exposure: Interns work on high-impact initiatives, not mock assignments
- Networking: Access to tech talks, leadership sessions, and intern socials
- Return offer (PPO): Top-performing interns may receive a pre-placement offer
Amazon interns also enjoy a high level of autonomy. You’re trusted with critical tasks early on, which makes the experience more immersive compared to many other tech internships.
Pro Tip: The stipend may seem high, but expectations are equally rigorous. Treat this internship like a mini full-time role — it’ll help if you’re aiming for a PPO or return offer.
Selection Process and Timeline
Amazon’s internship hiring process is fast-paced and selective. The focus is on how well you understand real-world data problems, not just academic concepts. Timelines may vary slightly based on location or campus involvement, but the steps are largely consistent across roles.
What is the selection process for Amazon’s data science internship?
- Step 1 – Resume Shortlisting: Emphasis on past projects, technical depth, and clarity
- Step 2 – Online Assessment: Usually includes data manipulation, stats, and Python coding
- Step 3 – Interview Rounds: 1 or 2 rounds focusing on modelling, business case reasoning, and Amazon’s leadership principles
- Step 4 – Final Decision: Offer roll-out and onboarding instructions if selected
How long does it take to hear back?
Students typically hear back within 2–3 weeks after each stage. If you’re applying through campus, the process may move faster as timelines are pre-set with your placement office.
Skill mapping for internship success
Here’s how key responsibilities during the internship map to core skills Amazon expects from applicants:
| Intern Responsibility | Expected Skill |
|---|---|
| Data exploration and cleaning | Pandas, NumPy, SQL |
| Model development and evaluation | Scikit-learn, statistics, error metrics |
| Business problem breakdown | Structured thinking, communication |
| Experimentation and testing | A/B testing design, hypothesis testing |
| Reporting and visualisation | Matplotlib, Seaborn, or dashboard tools |
Pro Tip: During interviews, you’ll often be asked to explain trade-offs. Be prepared to justify your modelling choices — not just what you built, but why you chose it.
Tips to Crack the Amazon Internship Interview
Cracking the Amazon data science internship interview is not just about having the right technical skills — it’s also about how you think, communicate, and align with Amazon’s working culture. Here’s how to prepare smartly and stand out from the competition.
How should I prepare for Amazon’s technical rounds?
- Brush up on core statistics: Know how to explain concepts like p-values, confidence intervals, regression assumptions, and distributions.
- Practise SQL and Python: Most online assessments include data extraction and cleaning tasks. Focus on joins, window functions, groupings, and basic scripting.
- Model evaluation: Understand metrics like RMSE, AUC, precision/recall, and when to use which. Questions often explore trade-offs.
- Work on case-style problems: Some interviews ask how you’d structure a solution for churn prediction, demand forecasting, or search ranking.
What about behavioural interviews?
Amazon uses its Leadership Principles to evaluate culture fit. Prepare 2–3 short stories using the STAR format (Situation, Task, Action, Result) to demonstrate ownership, bias for action, and dealing with ambiguity.
- “Tell me about a time you made a mistake.” Focus on what you learned and how you took responsibility.
- “Describe a situation where you disagreed with your teammate.” Show logic, calm conflict handling, and alignment to goals.
What do successful interns usually have in common?
They don’t just have strong resumes — they ask smart questions, iterate on feedback, and treat the internship like a full-time role. Curiosity, communication, and pace matter just as much as code quality.
Pro Tip: If you’ve only done academic projects, rewrite one of them as a business case — focus on what problem it solved, what data you used, and how you measured impact. That’s what interviewers care about.
Where does Amazon conduct its online assessments?
Most Amazon internship assessments are conducted on third-party coding or testing platforms. You’ll receive an invite link after your application is shortlisted. These are some platforms commonly used:
- HackerRank: Used for coding and data manipulation challenges (Python/SQL)
- Codility: Occasionally used for algorithmic tests or logical reasoning
- Amazon’s internal test platform: Some OA links route to proprietary assessment tools
- HirePro (for campus hires): Partnered with some Indian colleges for bulk assessments
Test duration typically ranges from 60 to 90 minutes, with a mix of multiple-choice, coding, and output-based questions.
