Amazon Hiring For Data Scientist Internship Opportunity 2025 Apply Now

🚀 Launch Your Career with Amazon! | Data Scientist Internship Opportunity (Bangalore | Hyderabad | Chennai)

Are you ready to jumpstart your career with one of the world’s most innovative tech giants? Amazon is calling all motivated, analytical, and data-driven minds to apply for its Data Scientist Intern position. If you are someone who thrives on solving complex problems, loves working with big data, and dreams of building scalable solutions to improve customer experiences this opportunity is tailor-made for you.

 Job Title:

Data Scientist Intern

Job ID: 2736671

Company: Amazon Internet Services Private Limited (AISPL)

Locations: Bangalore, Hyderabad, Chennai (India)

 About the Internship : 

Amazon is seeking aspiring Data Scientists who are passionate about building statistical models, creating data pipelines, and designing intelligent systems that elevate the customer experience and optimize business decisions. This internship provides an exceptional learning opportunity with hands-on exposure to machine learning, deep learning, predictive analytics, and big data platforms.

You will work alongside top data scientists and engineers in a high-impact environment, applying scientific rigor and innovation to solve real-world challenges across Amazon’s e-commerce and cloud businesses.

Key Responsibilities :

As a Data Scientist Intern at Amazon, you will:

• Use data analysis and statistical techniques to deliver impactful solutions that enhance customer experience and drive strategic business decisions.

•  Identify key metrics, predictors, and root causes behind business issues.

• Design, develop, and manage complex analytical models and forecast engines.

• Execute end-to-end data mining, feature engineering, model development, training, validation, and deployment.

• Collaborate with cross-functional teams including Product, Engineering, and Operations, influencing business decisions with data-driven insights.

• Present clear and actionable insights through well-structured written recommendations and visual reports.

• Uphold the highest standards of analytical accuracy, consistency, and integrity in all deliverables.

Internship Terms & Conditions : 

•  This is a full-time internship and requires uninterrupted commitment for the complete internship period.

•  Candidates must not have overlapping academic projects, employment, or internships during this period.

•  Any upcoming exams or academic engagements must be disclosed to the hiring manager in advance.

• Internship confirmation is conditional on submitting a formal declaration of availability, signed by a competent university authority.

• Working hours and specific team expectations will be communicated by the hiring manager at the start of the internship.

 What We’re Looking For : 

Basic Qualifications

• Must be 18 years of age or older

•  Demonstrated ability in data analysis, modeling, and statistics

•  Enthusiasm for working with large datasets and complex business problems

Preferred Qualifications :

 • Experience with R, SAS, MATLAB, or SQL for statistical computing and data manipulation

•  Strong skills in data transformation, model selection, training, and deployment

•  Exposure to machine learning and deep learning tools such as TensorFlow, PyTorch, MXNet, or Caffe

• Hands-on experience with big data platforms like Apache Spark, Hadoop, or Hive

• Background in Computer Science, Engineering, Operations Research, or related disciplines

•  Familiarity with model-based engineering tools and multi-disciplinary optimization techniques

📍 Job Locations :

This internship opportunity is available at multiple Amazon offices across India:

• IND, Karnataka – Bangalore

• IND, Telangana – Hyderabad

• IND, Tamil Nadu – Chennai

IND, Delhi – New Delhi (Note: Mentioned in Job Details section)

 About Amazon :

Amazon is not just an e-commerce company; it is a global technology powerhouse driving innovation in cloud computing, AI, robotics, logistics, and more. From a humble online bookstore to becoming one of the most influential brands in the world, Amazon has always believed in hiring the best minds and empowering them with the tools, freedom, and responsibility to innovate.

At Amazon, we strive to be Earth’s most customer-centric company, where people can find and discover anything they want to buy online. Every day, we invent and re-invent to make life easier for our customers and we want you to be part of that mission.

 Why Choose Amazon for Your Internship?

•  Work on real projects with a direct impact on millions of users

•  Mentorship from world-class experts in data science and machine learning

• Career acceleration with networking opportunities, training sessions, and personal development plans

•  Work culture built on diversity, inclusion, and innovation

•  Learn how to solve real business problems at scale, not just toy data problems

•  Stand out in the job market with experience from a global tech leader

Ideal Candidate Profile :

• This internship is perfect for students who:

• Are currently pursuing Bachelor’s/Master’s/PhD in Computer Science, Data Science, Statistics, Engineering, Mathematics, or related fields

• Have academic or project experience in statistical modeling, ML algorithms, or predictive analytics

• Want to apply their technical knowledge in a high-impact business environment

• Have strong interpersonal and communication skills

• Are eager learners who want to grow with hands-on experience from one of the most data-driven companies on the planet

 How to Apply :

Visit the Amazon Careers portal or your university’s placement cell for more information. Please ensure your resume includes:

Educational background

Technical skills (languages, tools, libraries)

Projects and academic achievements

Any experience with real-world data or internships

🔹Apply Link : Click Here For Apply Now

🔹WhatsApp link : Click Here For Join Now

🔖 Important Notes

• Internship start dates will be based on team schedules and candidate availability.

• Shortlisted candidates will undergo a technical assessment and interview rounds.

• Declaration of Availability (signed by your college authority) will be required post-selection.

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