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  • Standort

    Warszawa, Masovian, Polen

    Career Level
    Fachkraft
    Beschäftigungsart, Arbeitsart
    Vollzeit
    Veröffentlichungsdatum, ID-Nr.
    , 514366

    We are looking for a Data Scientist with hands-on experience in Generative AI, particularly with Large Language Models. Our ideal candidate would focus on exploration and exploitation of state-of-the-art models, together with other Data Scientists, Data Engineers, BI Analysts and Software Engineers of a multicultural team. 

     

    Key Tasks and Responsibilities

    • Understand the landscape of Generative AI and their potential business applications
    • Investigate and apply state-of-the-art Large Language Models to solve potential business problems
    • Collect, process relevant data sets and deliver proof of concepts
    • Take part in the development of prototypes and production services with other team members in a cross-functional agile team setup
    • Analyze and improve existing productive Generative AI services
    • Learn, grow and be an active member of our internal data science community by sharing best practices and success stories

     


    Our requirements:


    • Master’s degree in Computer Science, Physics, Engineering or similar
    • Solid hands on experience with data analysis, visualization, storytelling and Python programming including corresponding data science/AI libraries
    • Knowledge of standard supervised learning methods (e.g. time series forecasting, regression or classification)
    • Proficient in NLP libraries (e.g., NLTK, SpaCy, Hugging Face)
    • Experience with Large Language Models, Prompt Engineering and cloud-based API services for Generative AI
    • Passion to learn new technologies and analytical methodologies in the field of Generative AI
    • Clear and succinct verbal and written communication skills in English

     

    Nice-to-have knowledge:

    • Experience with Retrieval Augmented Generation (RAG) or LLM fine-tuning
    • Experience with Microsoft Azure ML/AI services
    • Familiarity with Big Data frameworks (e.g., Spark) and Deep Learning frameworks (e.g., PyTorch)
    • Experience in implementing scientific methodologies
    • Knowledge of Optical Character Recognition (OCR) solutions
    • Background in Logistics
    • Willingness to publish articles and speak up in tech conferences

     

    Vorteile:

    Professional Development

    We’re strong believers in continual training and development for our people. After all, your success is our success.

    Work-life Balance

    Our vacation and leave policies reflect our belief in proper work-life balance.

    Working Internationally

    See the world with DB Schenker! If you’re searching for an international challenge, we offer plenty of opportunities.

    Medical healthcare package

    Private medical healthcare offers various packages for you and your family.

    Sport Card

    Sport card gives you free access or discounts to many sport objects.

    Life insurance

    Life insurance for you and your family members.

    Holiday Bonus

    If you take a two week continuous holiday, you can apply for the special bonus.

    Pension Program (PPE)

    PPE is a chance for a bigger retirement. Company pays 3,5% of your salary to into your individual PPE account.

    Annual Bonus

    Depending on company results we offer you annual bonus.

    Language Courses

    We offer you a possibility to improve your language skills.

    At DB Schenker, you are part of a global logistics network that connects the world. A network that allows you to shape your career by encouraging you to contribute and truly make a difference. With more than 76,000 colleagues worldwide, we welcome diversity and thrive on individual backgrounds, perspectives and skills. Together as one team, we are Here to move.

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