Overview
About the Role
As a Data Scientist Intern, you will be at the forefront of data-driven innovation at Amazon. You’ll work with diverse teams to analyze problems, design experiments, and build algorithms that drive smarter decision-making across operations, supply chain, retail, and more.
This role is ideal for candidates who love working with data, are naturally curious, and can communicate complex concepts in simple terms. If you thrive in a fast-paced, tech-driven environment and enjoy solving real-world problems, this internship is for you.
Key Responsibilities
- Perform large-scale data analysis using statistical and machine learning methods
- Create models that help predict customer behavior and optimize operations
- Develop dashboards and automated tools to improve reporting and analytics workflows
- Conduct deep-dives to identify insights that influence long-term strategy
- Collaborate with business stakeholders, data engineers, and product managers to deliver impactful solutions
- Drive innovation through experimentation and model optimization
Internship Commitment
This is a full-time internship. Interns must be fully available throughout the internship duration without academic or professional conflicts. A formal declaration of availability signed by your university authority is required.
Specific working hours and team norms will be communicated by your hiring manager. Any upcoming exams must be shared in advance for planning.
Eligibility Criteria
- Must be at least 18 years of age
- Available for full-time internship with no overlapping commitments
- Declaration of internship availability signed by university required
Preferred Qualifications
- Strong foundation in statistics, probability, and data structures
- Prior experience with building, validating, and deploying ML models
- Excellent problem-solving, analytical thinking, and communication skills
- Familiarity with version control systems and software development best practices
- Experience with distributed computing or big data technologies is a plus
Technical Skills Required
Python, R, SAS, Matlab, SQL, TensorFlow, PyTorch, MXNet, Caffe, Apache Spark, Hadoop
Why Join Us
- Work with world-class teams on cutting-edge technologies that impact millions of customers
- Learn directly from top-tier data scientists, ML engineers, and tech leaders
- Gain exposure to Amazon’s unique problem-solving culture and internal tools
- Contribute to high-impact projects and build your professional portfolio
- Receive mentorship, training, and guidance that accelerates your career growth
- Potential for pre-placement offers (PPO) for high-performing interns
If an employer asks you to pay any kind of fee, please notify us immediately. Talentd does not charge any fee from applicants and we do not allow other companies to do so.
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Education Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, Operations Research, or a related field
Eligible Batch Years
Amazon
Amazon is a multinational technology and e-commerce giant founded in 1994 by Jeff Bezos in Seattle, Washington, USA. Originally launched as an online bookstore, Amazon has since evolved into one of the world's largest and most diversified companies, offering products and services across retail, cloud computing, digital streaming, artificial intelligence, and logistics. Its mission is "to be Earth's most customer-centric company," striving to offer customers the widest selection, lowest prices, and utmost convenience.
With over 1.5 million employees globally, Amazon operates extensive fulfillment and delivery networks, powers its AWS (Amazon Web Services) cloud platform used by millions of businesses, and owns subsidiaries such as Whole Foods Market, Audible, and Twitch. The company consistently ranks among the top in global market capitalization and is recognized for its innovation, operational efficiency, and disruptive impact on multiple industries. Recent developments include continued expansion of AWS services, advancements in AI-driven shopping experiences, and sustainability initiatives aimed at achieving net-zero carbon emissions by 2040.
Company Details
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