Amazon’s 2027 Data Science Internship in Seattle is for Master’s and PhD students with experience in data science, machine learning, big data and analytical programming.
Amazon is recruiting Master’s and PhD students for its 2027 Data Science Internship in Seattle, Washington. The internship focuses on data modeling, analytical tools, large-scale data and using findings to help improve Amazon systems.
Amazon 2027 Data Science Internship Overview
| Detail | Information |
|---|---|
| Organisation | Amazon |
| Internship | 2027 Data Science Internship |
| Job ID | 10556927 |
| Location | Seattle, Washington, USA |
| Opportunity type | Internship |
| Target group | Master’s and PhD students |
| Field | Data Science |
| Work schedule | Full time, 40 hours per week |
| Starting pay | $102,935 annually |
| Relocation | Applicants must be able to relocate to the internship location |
| Deadline | Not specified in the supplied vacancy |
What the Amazon Data Science Internship Involves
The internship is designed for students with a strong interest in data and experience developing analytical or statistical models.
Interns can work on projects involving:
- Data analysis and modeling
- Automation of analytical models
- Data science, machine learning and data mining
- Large-scale data processing
- Developing tools to investigate system errors and changes
- Presenting findings to business partners
Amazon expects interns to be capable of owning and executing analytical work and contributing to improvements based on data-driven findings.
Who Should Apply?
This opportunity is particularly relevant to students pursuing a Master’s or PhD who already have practical experience with data science or related analytical work.
Applicants with experience handling large datasets and using programming or statistical tools may be well aligned with the requirements.
Eligibility Explained
Amazon’s basic qualifications include experience with data scripting languages or statistical software.
Relevant tools listed by Amazon include:
- SQL
- Python
- R
- SAS
- MATLAB
Applicants should also have experience in data science, machine learning or data mining.
Another important requirement is experience processing, filtering and presenting large quantities of data, ranging from 100,000 to millions of rows.
Candidates must also be able to work full time for 40 hours per week for the entire internship and be able to relocate to the internship location.
Preferred Experience
Amazon lists experience with clustered data processing technologies as a preferred qualification.
Examples include:
- Hadoop
- Spark
- MapReduce
- Hive
This means candidates with distributed or large-scale data processing experience may have an additional advantage.
Salary and Benefits
The starting pay listed for the Seattle position is $102,935 annually.
Amazon also states that, starting on the first day of employment, eligible interns can access benefits including:
- Employee Assistance Program
- Mental health support
- Medical advice line
- 401(k) matching
The supplied vacancy does not provide a separate internship stipend or relocation allowance.
Why This Internship Matters
The opportunity combines advanced academic study with practical data science work.
For Master’s and PhD students, the ability to work with large datasets, develop analytical models and communicate findings to business partners can provide useful experience for future data science, machine learning and analytics careers.
The role also places emphasis on applying data to real operational problems rather than focusing only on theoretical research.
Application Deadline
The supplied Amazon vacancy does not state a specific application deadline.
Applicants should check the live Amazon Jobs listing for the current application status.
How to Apply
Applications should be submitted through the official Amazon Jobs vacancy.
Amazon 2027 Data Science Internship – Official Application
Candidates should review all qualifications carefully before submitting their application.
Application Tips
Applicants should make sure their CV clearly demonstrates experience with SQL, Python, R or relevant statistical tools, along with specific examples of data science, machine learning or data mining work.
It is also useful to demonstrate experience working with large datasets and, where applicable, technologies such as Spark, Hadoop, MapReduce or Hive.
Candidates should clearly show their current Master’s or PhD status and ability to complete a full-time internship.
Opportunities Feed Assessment
The Amazon Data Science Internship is particularly relevant to advanced-degree students who already have practical data science and large-scale data experience.
The listed $102,935 annual starting pay, combined with exposure to analytical modeling, machine learning, large datasets and business-facing data work, makes this a notable technical internship opportunity. The salary figure is an annualised starting-pay figure listed for the Seattle position, not a stated internship lump-sum payment.
The biggest screening points are the Master’s or PhD status, technical data experience, full-time availability and ability to relocate.
Frequently Asked Questions
Who can apply for the Amazon Data Science Internship?
The vacancy is aimed at students matriculating in a Master’s or PhD programme.
What programming languages are relevant?
Amazon lists SQL, Python and R, along with statistical or mathematical software such as SAS and MATLAB.
Is machine learning experience required?
Amazon lists experience in data science, machine learning or data mining as a basic qualification.
How much does the internship pay?
The listed starting pay for Seattle is $102,935 annually.
Is the internship full time?
Yes. Candidates must be eligible and available for a 40-hour-per-week internship for the entire duration.
Do applicants need to relocate?
Yes. The vacancy states that applicants must be able to relocate to where the internship is based.
Is big data experience required?
Yes. Amazon requires experience processing, filtering and presenting large quantities of data, from approximately 100,000 to millions of rows.
Is Hadoop or Spark required?
They are not listed as basic qualifications but are included among Amazon’s preferred qualifications.
Where is the internship based?
The supplied vacancy lists Seattle, Washington, USA.
What is the application deadline?
The supplied vacancy does not state a specific deadline. Applicants should check the official Amazon Jobs page for the latest status.
Disclaimer
Opportunities Feed is sharing this opportunity for informational and career purposes. We are not affiliated with Amazon and do not recruit applicants on its behalf. Applicants should verify the latest eligibility requirements, compensation, application status and other details through the official Amazon Jobs website.
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