2025 Data Scientist Internship (multiple locations), Amazon University Talent Acquisition
Amazon
Are you a MS or PhD student interested in a 2025 Internship in Data Science? If so, we want to hear from you!We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment, building and deploying machine learning models to drive step-change innovation and scale it to the EU/worldwide.If this describes you, come and join our Data Science teams at Amazon for an exciting internship opportunity. If you are insatiably curious and always want to learn more, then you’ve come to the right place.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/scienceKey job responsibilitiesAs a Data Science Intern, you will have following key job responsibilities:
A day in the lifeAt Amazon, you will grow into the high impact, visionary 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 teamApplicants 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, France, Germany, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Romania, Spain and the UK).Please note these are not remote internships.BASIC QUALIFICATIONS– Are enrolled in a Master’s degree in computer science, machine learning, engineering, or related fields– Speak, write, and read fluently in EnglishPREFERRED QUALIFICATIONS– Experience in at least one of the related science disciplines (optimization – LP, MIP, statistics, machine learning, process control, combinatorial optimization)– Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)– Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data– Experience implementing algorithms using both toolkits and self-developed codeAmazon 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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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Thu, 06 Feb 2025 23:46:54 GMT
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