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Student trainee AI & Data Science

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Job

  • Level
    Junior
  • Job Field
    Data
  • Employment Type
    Part Time
  • Contract Type
    Internship / school internship
  • Location
    Münster (Hessen)
  • Working Model
    Onsite
  • Job Summary

    In this role, you will work on Data Science projects from data preparation to result presentation and conduct ad-hoc analyses using SQL and Python, while also contributing to ML and AI approaches.

    Job Technologies

    Your role in the team

    • As a working student (m/f/d) in the field of Artificial Intelligence and Data Science, you will become a valuable member of our team. In the course of your activities, you will support ongoing Data Science projects from data preparation to presentation of results and independently carry out ad-hoc analyses for our specialist departments. In doing so, you will work with real trading data and learn how data turns into decisions.
    • Ad-hoc analyses: You answer specific data questions from the business units using SQL and Python, prepare the results in an understandable manner, and document your approach transparently.
    • Project Support: You collaborate on ongoing data science projects, from data preparation and analysis to presenting the results to the business units.
    • Data preparation and pipelines: You assist in building and maintaining data pipelines, implement data quality checks and tests, and help to convert one-time analyses into repeatable processes.
    • Dashboards and Reporting: You expand existing dashboards with new analyses and ensure that business units can independently understand their key figures.
    • Machine Learning and AI: You assist in the evaluation and further development of ML and AI approaches.

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    Our expectations of you

    Education

    • Advanced Bachelor's or Master's degree in Business Informatics, Computer Science, Data Science, Statistics, or a related field.

    Qualifications

    • Basic business acumen for communication with specialist departments, as well as analytical thinking, meticulousness in handling numbers, and the ability to present results clearly.
    • Motivation to expand your knowledge in Data Science and AI, as well as good communication and team spirit.

    Experience

    • Excellent Python and SQL skills, proficient in Git, and ideally some experience with Google Cloud (BigQuery) and relational source systems such as SAP HANA.
    • Experience in using AI coding tools such as Codex and Claude Code.

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    What we offer

    • In addition to classic benefits such as coffee & water flat rates, discounted lunch offers, or employee discounts, you can expect even more from us:
    • Space for ideas: Share your perspectives and actively shape the future of Thalia.
    • Learning & Growing: Gain valuable practical experience for your career path.
    • Flexible working: Work independently in a modern, agile environment with plenty of scope for creativity.
    • Team spirit: Collaboration is key for us - you are part of the team from the very beginning.
    • Openness & Diversity: We welcome new perspectives and embrace diversity.
    • Together we create change: As part of #TeamThalia, you actively shape the digital transformation within the company.

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    Benefits

    Food & Drink

    Work-Life-Integration

    Higher Take-Home Pay

    Health, Fitness & Fun

    Topics You Will Work On

    Job Locations

    • Location Münster (Hessen)

      64839 Hessen

      Germany

    About Your Employer

    Thalia

    Thalia

    The Thalia Books GmbH, headquartered in Hagen, is a book retailer and service provider.

    Description

  • Company Size
    50-249 Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Media, Publishing, Trade
  • Employer reviews

    by devworkplaces.com

    Total

    (1 Review)
    2.8
    • Engineering

      2.7
    • Culture

      3.0
    • Career Growth

      2.6
    • Workingconditions

      3.0
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    Logo Thalia

    Student trainee AI & Data Science

    Location
    Münster (Hessen)
    Working Model
    Onsite
    Diversity
    Open for all genders

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