Find exactly what you are looking for

  • Select your location and language

  • Information Technology

    Data Scientist

    Location

    Warszawa, Masovian, Poland

    Career Level
    Professionals
    Employment Type, Work Type
    Full Time
    Publishing Date, 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

     

    Benefits:

    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.

    Consent to use Cookies and collect data

    We use first party cookies and similar technologies to ensure that you get the best possible experience on our website. Cookies provide us with statistics to adjust and optimize the setting and content of this website to your interests and to place relevant advertisement by using first and third parties, too. By clicking "Allow all Cookies" you accept the processing of your data and its transfer to first and third parties. By clicking "Reject Tracking" you will only accept the necessary cookies for the operation of this website. 

    You can find more details regarding the use and purpose of cookies, including first and third-party cookies, in our cookie settings. You can reject the use of cookies and other technologies and withdraw your consent any time with future effect by deactivating the respective code category in the cookie settings. You can find more information regarding these settings and the processing of your data in our privacy policy.

  • Cookies and tracking scripts

    We want to give you the opportunity to make an informed decision for or against the use of cookies, which are not mandatory for the technical functions of the website. Cookies are small text files in which personal data can be stored.

    Our privacy policy is intended to ensure that you are fully aware of the collection and processing of data, including through the use of cookies through our sites, and that you can make a decision that is appropriately informed. However you can change your cookie settings at any time.

    Please find further information within our data privacy policy.