Data Scientist
Schenker Technology Center Warsaw
We are a team of technology lovers who deliver top-quality digital solutions for DB Schenker - a global logistics market leader. 85% of our projects are focused strictly on development, and only a minority relate to maintenance. Joining us, you will deal with matters that already shape the logistics industry's future and challenge the existing status quo. Chatbots, IoT, RPA, and Blockchain are just a few examples. You will have a chance to work with a diverse technology stack and discover our unique Agile approach to the development process.
Tech stack
NLP libraries
data analytics
Python
Data Science
Big Data
Generative AI
Job description
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
Permanent, B2B
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