Data Scientist

We are seeking a Data Scientist with a focus on Natural Language Processing (NLP) and to contribute to innovative R&D efforts within Shell’s GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and domain-specific GenAI solutions to support key internal use cases and products. Responsibilities • Design, implement and maintain scalable NLP and GenAI pipelines (including data processing, pre-processing, evaluation). • Perform advanced data analysis on real-world datasets to extract meaningful insights and support decision-making processes. • Stay up to date with state-of-the-art research in the space of LLMs/ NLP, proposing new ideas and methodologies that unlock business value. • Contribute to the development of RAG systems and retrieval pipelines, including chunking, embedding, re-ranking, and evaluation. • Participate in experiments, including designing experimental details, writing reusable code, running evaluations, and organising results. Qualifications • An MSc. degree in computer science, electrical engineering, or a related technical field or at least 5 years of experience in related domains • Understanding modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies • Hands of expertise in Python programming for developing and debugging AI models • Experience with Azure technologies (AI Foundry, Databricks, etc.) • Experience in R&D development with a focus on NLP/GenAI • Excellent communication skills and a collaborative mindset with the ability to work effectively across teams and disciplines. • Strong interest in cross-disciplinary collaboration to support research that delivers both business value and scientific impact