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# Senior Data Scientist II

- **Company:** RELX Group plc
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Text Processing, Python (Programming Language), Machine Learning, Natural Language Processing, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Information Technology
- **Published:** September 17, 2026
- **Apply:** https://relx.wd3.myworkdayjobs.com/en-US/relx/details/California/Senior-Data-Scientist-II_R111795

## About the Role

* Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
 * Strong experience in machine learning, NLP, and LLM-based modeling.
 * Strong experience designing and running experiments, including model evaluation and iteration.
 * Experience with generative AI techniques (e.g., prompt engineering, RAG).
 * Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.
 * Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.
 * Proficiency in Python and data analysis tools.
 * Strong foundation in statistics, modeling, and large-scale text processing.

## Description

Are you looking to develop your Data Scientist career?, * Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).

 * Define agentic workflows and reasoning strategies for multi-step legal tasks.
 * Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
 * Analyze large-scale legal datasets to extract insights and improve model performance.
 * Establish best practices for model evaluation, validation, and benchmarking.
 * Translate experimental results into clear product recommendations and business impact.
 * Collaborate with product, legal experts, and engineers to align solutions with user needs.
 * Mentor team members and provide technical leadership in data science and AI.


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