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 KPIs
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
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
Benefits
Flexible work arrangements with hybrid working options