[Hiring] Senior Data Scientist II @RELX

Role Description

As a Senior II Data Scientist, you will lead the development of innovative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems. You will work closely with product managers, domain experts, and stakeholders to translate business needs into scalable, production-ready solutions while contributing directly to software development and continuous innovation.

• Lead the end-to-end lifecycle of AI projects (leveraging LLMs, RAG architectures, and agentic workflows), from problem definition and experimentation through deployment, evaluation, and continuous improvement.
• Monitor, evaluate and optimize AI system performance using metrics, user feedback, and experimentation frameworks.
• Partner with product managers, domain experts, and stakeholders to prioritize opportunities while communicating results and tradeoffs.
• Contribute directly to software development as an individual contributor.
• Design and implement scalable AI solution architectures, including data ingestion, retrieval, generation, and evaluation components.
• Build and enhance RAG-based applications and AI-powered products.
• Collaborate across teams to identify and solve complex information retrieval and NLP challenges.
• Support the continuous improvement of AI systems through experimentation, testing, and performance analysis.

Qualifications

• 2 to 5 years of experience in Data Scientist or similar roles.
• At least 1 year of hands-on experience building RAG-based applications and agentic AI systems.
• Ability to design and explain end-to-end AI solution architectures, including data ingestion, retrieval, generation, and evaluation components.
• Strong proficiency in Python, modern AI frameworks (e.g., LangChain, Google ADK), cloud-based development, and software engineering best practices for production of AI systems.
• Experience working with NLP, document processing, search, recommendation systems, or related information retrieval problems.
• Familiarity with embeddings, vector search, and retrieval mechanisms.
• Ability to evaluate AI system performance and diagnose issues related to answer quality, retrieval, hallucinations, or model behavior.
• Experience implementing agentic workflows and multi-agent architectures.
• Proven ability to work closely with Product and stakeholders to understand business needs, gather requirements, and translate them into scalable AI solutions.
• Strong communication skills in English, including the ability to explain technical concepts to different audiences.

Requirements

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Benefits

• Numerous wellbeing initiatives.
• Shared parental leave.
• Study assistance.
• Sabbaticals.