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    1. Home
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    4. Data Science Internship 2023
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    Are you a MS or PhD student interested in a 2023 Internship in Data Science? At Amazon, we're working to be the most customer centric company on earth. To get there, we are looking for motivated and talented driven people.

    If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.

    • Competitive pay
    • Impactful project and internship/role deliverables
    • Hybrid working (team dependent)
    • Networking opportunities with fellow interns
    • Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
    • Mentorship and career development

    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 EU/worldwide. If this describes you, come join our data science teams at Amazon for an exciting internship opportunity.

    If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies

    Internship start dates vary throughout the year. Internship length can vary between 3 - 6 months for Full Time and 6 - 12 months for Part Time.

    Key Job Responsibilities

    • Work closely with scientists and engineers to architect and develop new algorithms to implement scientific solutions for Amazon problems.
    • Work on an interdisciplinary team on customer-obsessed research
    • Experience Amazon's customer-focused culture
    • Create and Deliver Machine Learning projects that can be quickly applied starting locally and scaled to EU/worldwide
    • Build and deploy Machine Learning models using large data-sets and cloud technology.
    • Create and share with audiences of varying levels technical papers and presentations
    • Define metrics and design algorithms to estimate customer satisfaction and engagement

    Basic Qualifications

    • Enrolled in Master’s or Ph.D. degree in math, statistics, computer science, or related science field.
    • Understanding of Machine Learning, Deep Learning, Forecasting, Experiments and Causal Inference
    • Proficiency in model development, model validation and model implementation
    • Experience with MySQL/PostgreSQL/Redshift
    • Proficiency with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
    • Great design and problem-solving skills, passion for quality and engineering excellence at scale

    Preferred Qualifications

    • Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data.
    • Experience implementing and deploying models at scale
    • Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive).
    • Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2.“
    • Experience in communicating technically, at a level appropriate for the audience.

    Please note this is not a remote internship opportunity