Amazon Data Scientist Internship July 2025
Amazon Data Scientist Internship 2025 – A Golden Opportunity for Future Data Maniacs
Student with a love for data, analytics and innovation? Here’s your opportunity to work as a Data Associate at one of the world’s top 5 companies! The company has released the notification for Data Scientist Intern under AISPL (Amazon Internet Services Pvt. Ltd.), and is a great way for budding data professionals to get some hands-on experience solving real world business problems!
Internship Location: Bangalore, Hyderabad, Chennai periods.
Job ID: 2736671
Intern (full-time) * No school and or Job schedule conflict during Summer Internship period
About the Internship Role
Amazon is searching for passionate and talented data scientists, strong in statistics and analysis, but also with the ability to manage, take ownership, and help drive results. This internship is not just writing code or building models - it’s about developing, automation, and running analytics systems to improve our customers’ experience and solve critical business problems.
If you are from Computer Science, Engineering, Operations Research, Process Control or any other related discipline, and are interested in learning about the operational aspects of a prod aven403 As an intern in this program you will benefit from Amazon system, you should apply for this position.
Key Responsibilities
As a Data Scientist Intern you will work on projects that impact millions of Amazon customers. Your duties etc. will include:
- Statistical methods and data-driven problem solving and improvement of customer experiences.
- Pattern, predictor, and causality analysis of business issues (multiple business problems) and model building (forecasting, prediction).
- Performing deep analysis to unearth areas of the business where we can add significant value and communicating your findings with clear, practical, and actionable recommendations.
- Working alongside cross-functional teams, being responsible for quantitative analysis, and developing novel solutions with the latest tools and technology.
- Deep diving into data to resolve issues at their core rather than just only fixing symptoms at the surface.
Basic Eligibility
To be eligible for this internship, applicants must:
- Be 18 years or older.
- Be able to participate in full-time (40 hours per week) internship, with no other professional obligations including classes or other internships/employment during the full duration of the internship.
- Provide a signed letter from their university indicating the availability from an authorized individual upon beginning their internship.
- This internship is a full-time and intensive one. All test dates or other significant academic dates should be shared early with the hiring team.
Preferred Skills & Qualifications
While not mandatory, candidates with the following technical skills will have an edge:
- Experience in data science tools such as R, SAS, Matlab, and SQL.
- Familiarity with data transformation, model training, cross-validation, and large-scale model deployment.
- Hands-on experience with machine learning and deep learning libraries, such as TensorFlow, PyTorch, MXNet, and Caffe.
- Exposure to big data platforms like Apache Spark and Hadoop.
- These skills will not only enhance your ability to contribute meaningfully during the internship but also boost your long-term career prospects in the data science domain.
Why You Should Apply
Amazon is known for nurturing young talent and offering interns the opportunity to work on projects that have real-world business impact. As a Data Scientist Intern, you’ll:
- Gain mentorship from seasoned Amazon data scientists and engineers.
- Develop a deep understanding of how large-scale systems operate and how data powers business decisions.
- Have the opportunity to build a strong network and possibly secure a future role within Amazon.
How to Apply?
Final Thoughts
If you're ready to put your data science skills to the test and learn from some of the brightest minds in the industry, this internship is for you. Make sure your resume is updated, and start preparing now to stand out in the selection process.
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