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- EDITEDHybrid work in London
- In this role, you'll work alongside experienced data scientists and engineers to deliver actionable insights and build data-driven solutions across EDITED.
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- Betway GroupNorth London
- This includes tasks such as data cleaning, data verification, data transformation and validation methods using both statistical and machine learning methods.
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- Betway GroupNorth London
- This includes tasks such as data cleaning, data verification, data transformation and validation methods using both statistical and machine learning methods.
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- RevolutHybrid work in London
- Building and optimising data pipelines, prompt workflows, and model integration components for AI assistants and automation tools.
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- BAE SystemsChelmsford
- We offer a range of hybrid and flexible working arrangements – however for this role you will be expected to attend your site 3-5 days per week.
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- eaChangeHybrid work in London
- Knowledge of data visualisation tools like Power BI or Tableau.
- Collaborate with developers and data scientists to validate results and refine algorithms.
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- Salary Search: Graduate Technical/Data Analyst | London salaries in London
- Comprised of data scientists, developers, data engineers and researchers.
- Conduct research and data analysis to uncover market trends and drive innovation…
- Use data science techniques to analyse data and produce insightful results.
- Our graduate roles are journeys of learning, experience and support.
- CapgeminiHybrid work in Newcastle upon Tyne
- A basic understanding of SQL, with an understanding of Python, GIT, Docker, Big data, statistical analysis.
- Some professional skills are compulsory depending on…
- marshmallowHybrid work in London
- In this role, you'll learn how pricing decisions work in practice and turn data into meaningful outcomes.
- Working closely with pricing colleagues on scoped…
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- G MASSHybrid work in London
- We are looking for a data scientist equally comfortable working with databases and cloud data platforms as communicating strategy and recommendations to senior…
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- NewRocketRemote in London
- Help implement safeguards for sensitive data, access controls, authorized data use, prompt-injection risks, and unsafe or unintended tool execution.
- managementsolutionsLondon
- You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (…
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- ToumetisHybrid work in Bristol BS1 6UX
- The Analyst role will be to review the three-phase voltage and current waveforms, time-series data, that are captured and displayed on the Cascadence platform.
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- McKinsey & CompanyLondon
- You will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives.
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- ICFLondon EC2R
- Work with data scientists and subject matter experts to understand project questions, available data and appropriate outputs.
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2026 Applied Scientist Intern, Amazon University Talent Acquisition
AWS EMEA SARL (UK Branch) - F93 (part of Amazon.com)
·
3.4
London
Full-time
2026 Applied Scientist Intern, Amazon University Talent Acquisition
Job details
Pay information not provided
Full-time
London
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;
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.
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.
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