The Amazon Data Science Internship 2025 is a 12–16 weeks, full-time paid program that allows students to get practical data and machine learning projects. The locations for this program are Bengaluru, Hyderabad, and Chennai. The interns are thus among the various projects of the company which include teams like Alexa AI and Supply Chain Analytics. They can expect a remuneration of up to ₹1 lakh/month, training from skilled professionals, and the opportunity for a PPO making it a great start for a data science career.
- Position: Data Science Internship
- Company: Amazon
- Duration: 12–16 weeks
- Education: Any Graduate
- Employment Type:
- Salary: ₹50,000 – ₹1,00,000 per month
- Locations: Bengaluru, Hyderabad, Chennai
About the Amazon Data Science Internship
The Amazon Data Science Internship 2025 is a 12-16 weeks, full-time, paid internship program aimed at students from the fields of Computer Science, Data Science, Statistics, Mathematics, and Engineering.The scope of the interns work is not limited to small datasets or practice exercises. On the contrary, they handle live, business-impacting projects in departments such as Alexa AI, Amazon Ads, Supply Chain Analytics, AWS ML, and Customer Insights.
Job Description of Amazon Data Science Internship 2025
The Data Science Intern at Amazon is the one who will,
- Use statistical modeling, machine learning, and big data tools to address business challenges.
- Develop predictive models, conduct A/B experiments, and generate insights from both structured and unstructured data.
- Work with engineers, scientists, and product managers to provide scalable, data-driven solutions.
- Communicate results to the technical and non-technical audience, thus leaving no room for ambiguity and ensuring the taking of appropriate actions.
Key Responsibilities of Amazon Data Science Internship
From the very design of the functions, the responsibilities of a Data Science Intern at Amazon essentially parallel those of a data scientist.
1. Data Exploration and Cleaning
- Work directly with dirty datasets having millions of rows.
- Whether it is Pandas, NumPy, or SQL, the main task to be performed will be cleaning, preprocessing, and evaluating datasets.
2. Statistical Modeling and Hypothesis Testing
- One major way to measure the impact of changes is to design A/B experiments.
- Practice regression, classification, and time-series techniques on business cases.
3. Machine Learning Model Development
- Construct, load, and measure the performance of machine learning models.
- By support from engineers, go ahead to deploy models to production workflows.
4. Business Problem Solving
- Convert nebulous business problems into well-structured data science tasks.
- Confirmable KPIs can be introduced along with a solution, which can be further validated with actual data.
5. Reporting and Visualization
- Through reports, dashboards, or visualizations that are clear present analysis results.
- Make the insights available to non-technical stakeholders.
Qualifications and Eligibility Criteria forData Science Intern at Amazon
There are some points that determine if a candidate is eligible for Amazon’s Data Science Internship in 2025.
- A bachelor’s, master’s, or PhD in Computer Science, Data Science, Mathematics, Statistics, or Engineering.
- The preference is for students in their penultimate or final year of studies (full-time conversion within 6–12 months is eligible).
Technical Skills Desired for Data Science Intern at Amazon
- Programming: The use of either Python or R is mandatory.
- Data Handling: SQL, data wrangling, and exploratory data analysis (EDA).
- Machine Learning: Knowledge in regression, classification, clustering, and anomaly detection is enough.
- Statistics: Skill in A/B testing, confidence intervals, and hypothesis testing is expected.
- Visualization: Matplotlib, Seaborn, or dashboard tools like Tableau.
Soft Skills
- Strong problem-solving skills.
- Clear communication (both written and verbal).
- An ability to work in ambiguous situations.
- Teamwork and Ownership.
Salary and Benefits of Data Science Intern at Amazon
Amazon Data Science Interns in India are given a stipend, which is one of the most highly paid in the tech industry.
- Stipend: ₹50,000 – ₹1,00,000 per month.
Additional Benefits:
- Amazon devices or laptops for projects.
- Access to the guidance of senior scientists and engineers.
- Networking opportunities through intern socials and tech talks.
- PPO (Pre-Placement Offer) opportunities for top performers.
Contrary to many other internships, where the projects are quite small and the work is very basic, at Amazon you will receive critical projects which will empower you to get a grip on your confidence and give you an experience at the industry level.
Career Growth Opportunities at Amazon
It is common that Amazon converts the best interns into full-time employees. Exceptional performers among the interns may be awarded a Pre-Placement Offer (PPO), thereby gaining direct and immediate access to Amazon’s data science teams.
There are career growth plans such as:
- Data Scientist I → Data Scientist II → Senior Data Scientist → Principal Data Scientist.
- The opportunities to move into positions such as an Applied Scientist or ML Engineer.
- The involvement with the various business teams, product managers, and engineers has given you cross-functional exposure.
- This internship is a springboard not just for those who want a career in Amazon but also for positions in other top global tech companies.
How to Apply for Amazon Data Science Internship 2025
Applying early is the key to increasing your chances since roles are filled on a rolling basis.
1. Visit the official Amazon Jobs Portal.
2. Search for “Data Scientist Intern – India”.
3. Click “Apply Now” and sign in or create an Amazon account.
4. Upload your updated resume (PDF format recommended).
5. Fill in academic, project, and skills information.
6. Submit and track your application through the dashboard.
Selection Process and Interview Timeline of Amazon Data Science Interns
The selection process for the Amazon Data Science Internship 2025 is rigorous but fair.
1. Resume Shortlisting: Focus on clarity, project relevance, and technical skills.
2. Online Assessment (OA)
- Python coding problems.
- SQL queries and data manipulation.
- Statistical reasoning (probability, hypothesis testing)
3. Technical Interviews (1–2 rounds)
- Case studies (forecast demand, predict churn, fraud detection).
- ML concepts and evaluation metrics.
- Business communication and structured thinking.
4. HR/Behavioral Round
- Based on Amazon Leadership Principles (Ownership, Bias for Action, Dive Deep, etc.).
5. Offer Rollout
- Selected candidates receive onboarding instructions.
Interview Preparation Tips for Amazon Data Science Interns
To crack the Amazon Data Science Internship, prepare in two dimensions — technical skills and behavioral alignment.
Technical Preparation
- Statistics: p-values, confidence intervals, regression assumptions, normal distributions.
- SQL: Joins, subqueries, window functions, aggregations.
- Python: Data manipulation with Pandas/NumPy, visualization, scikit-learn basics.
- Machine Learning: Logistic regression, decision trees, random forests, overfitting vs. underfitting.
- Evaluation Metrics: RMSE, AUC, precision, recall, F1 score.
Behavioral Preparation
- Amazon strongly evaluates interns on Leadership Principles. Prepare STAR (Situation, Task, Action, Result) stories for:
- Taking ownership of a project.
- Handling disagreements or conflicts in a team.
- Learning from a mistake or failure.
- Innovating with limited resources.
FAQs on Amazon Data Science Internship 2025
Q1. Who can apply for Amazon Data Science Internship 2025?
Penultimate or final-year students in Computer Science, Data Science, Statistics, Engineering, or Mathematics.
Q2. What is the stipend for Amazon data science interns?
₹50,000 – ₹1,00,000 per month depending on team and location.
Q3. How long is the internship?
Typically 12–16 weeks (full-time).
Q4. What projects do interns work on?
Projects include fraud detection, demand forecasting, delivery optimization, and NLP applications.
Q5. Is PPO offered after the internship?
Yes. High-performing interns are often given Pre-Placement Offers.
Q6. What are the main skills Amazon looks for?
Strong programming in Python/R, SQL, ML basics, statistical knowledge, and structured problem-solving.
Conclusion
The Amazon Data Science Internship 2025 is not only an amazing summer experience, it is also an opportunity to foster a vibrant career, in one of the most interesting and challenging industries. The program basically gives a young data scientist everything he or she could want for — the chance to learn through real-world projects, the support from the best in the field, and a nice financial reward.If you are a student of a technical or numerical course in your penultimate or final year, then this internship could be your launch pad to a career with high impact in the whole world either at Amazon or some other place.
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