Job Description
Profile insights
Here’s how the job qualifications align with your profile.
Skills
Statistical analysis
Python
Management
+ show more
Do you have experience in Statistical analysis?
Education
Master's degree
Doctoral degree
Do you have a Master's degree?
Job details
Here’s how the job details align with your profile.
Job type
Full-time
Location
Edinburgh
Full job description
DESCRIPTION
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you!
We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems.
You can find more information about the Amazon Science community as well as our interview process via the links below;
https://www.amazon.science/
https://amazon.jobs/content/en/career-programs/university/science
https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science
Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.
You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture.
The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
A day in the life
At Amazon, you will grow into the high impact person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth.
How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.
Some more benefits of an Amazon Science internship include;
All of our internships offer a competitive stipend/salary
Interns are paired with an experienced manager and mentor(s)
Interns receive invitations to different events such as intern program initiatives or site events
Interns can build their professional and personal network with other Amazon Scientists
Interns can potentially publish work at top tier conferences each year
About the team
Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews.
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.
This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK).
Please note these are not remote internships.
BASIC QUALIFICATIONS
Experience programming in Java, C++, Python or related language
Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
PREFERRED QUALIFICATIONS
Have publications at top-tier peer-reviewed conferences or journals
Experience in designing experiments and statistical analysis of results
Experience implementing algorithms using toolkits and self-developed code
Experience in solving business problems through machine learning, data mining and statistical algorithms
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Here’s how the job qualifications align with your profile.
Skills
Statistical analysis
Python
Management
+ show more
Do you have experience in Statistical analysis?
Education
Master's degree
Doctoral degree
Do you have a Master's degree?
Job details
Here’s how the job details align with your profile.
Job type
Full-time
Location
Edinburgh
Full job description
DESCRIPTION
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you!
We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems.
You can find more information about the Amazon Science community as well as our interview process via the links below;
https://www.amazon.science/
https://amazon.jobs/content/en/career-programs/university/science
https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science
Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.
You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture.
The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
A day in the life
At Amazon, you will grow into the high impact person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth.
How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.
Some more benefits of an Amazon Science internship include;
All of our internships offer a competitive stipend/salary
Interns are paired with an experienced manager and mentor(s)
Interns receive invitations to different events such as intern program initiatives or site events
Interns can build their professional and personal network with other Amazon Scientists
Interns can potentially publish work at top tier conferences each year
About the team
Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews.
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.
This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK).
Please note these are not remote internships.
BASIC QUALIFICATIONS
Experience programming in Java, C++, Python or related language
Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
PREFERRED QUALIFICATIONS
Have publications at top-tier peer-reviewed conferences or journals
Experience in designing experiments and statistical analysis of results
Experience implementing algorithms using toolkits and self-developed code
Experience in solving business problems through machine learning, data mining and statistical algorithms
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
💡 Quick Summary
Seeking a career-building opportunity? The 2026 Applied Scientist Intern, Amazon University Talent Acquisition position is now open for candidates interested in the Education Jobs sector. This role in Edinburgh offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Education Jobs is a plus.