We are a reliable partner who makes the sourcing of technical supplies as easy and efficient as it gets for customers. We do this with passion and innovativeness, day in day out. Our product range comprises millions of quality items, customer-centric solutions and services, and face-to-face expert advice. We are fully committed to this mission. We see change as a catalyst for opportunities, and supply customers with everything they need to successfully complete their projects. As a family-run business, operating in a sustainable way and building long-term business relationships are paramount to us. We stand for quality and reliability.
We’re looking for a Senior Data Scientist to advance AI automation and LLM-driven innovation across Conrad Group. You’ll design and refine ML and LLM solutions that enhance customer and partner experiences, working closely with international teams to turn complex business problems into smart, data-driven outcomes. This position is ideal for someone eager to shape the future of applied AI at scale in a fast-moving, data-driven environment.
We offer a hybrid working set-up either in Hirschau, Munich, (Berlin) or Krakow.
responsibilities :
Work in an international delivery team that builds world-class Machine learning models for Conrad Group
Take ownership of implementing ML models to improve real-time customers and partners experience
Contribute to the impact of AI at Conrad by enabling data-driven decision support
Define and continuously optimize your models using KPI´s
Develop and deploy AI-powered automation workflows combining traditional ML with modern LLM capabilities
Implement RAG systems using cloud AI platforms and integrate them with existing data infrastructure
Create proof-of-concepts for AI use cases identified across the organization
requirements-expected :
M.Sc. (or Ph.D.) in statistics, math, computer science, or relevant Hands-on experience
3+ years of practical experience as a Data Scientist
Proven track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Experience in communicating your findings and recommendations to technical and non-technical stakeholders
Good understanding of Python and its ecosystem, especially frameworks oriented to data science such as NumPy, Pandas, Scikit-learn.
Experience with vector embeddings, retrieval-augmented generation (RAG) techniques, and integration with vector stores (e.g., FAISS, Pinecone, AlloyDB)
Experience with prompt engineering with different LLM providers, experience with few shot learning and LLM grounding
Experience with designing and implementing multi agent systems with python libraries such as LangChain, LangGraph, LlamaIndex or non-code such as n8n, Zapier or Make
Fluent English is neccessary, German language is a plus
benefits :
sharing the costs of sports activities
private medical care
fruits
corporate products and services at discounted prices
