Senior Data Scientist

🕒 April 21

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $115.4k - $230.7k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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RELX

WebsiteLinkedInAll Job Openings

10,000+ employees

🏢 Enterprise

🔬 Science

Enterprise • Science • Legal

RELX is a global provider of information-based analytics and decision tools for professional and business customers. The company focuses on enabling its clients to make better decisions, improve results, and enhance productivity by leveraging advanced technology and data. RELX serves various sectors, including Risk, Scientific, Technical & Medical, Legal, and Exhibitions, by offering specialized information and analytical tools that facilitate critical decision-making. The company is committed to corporate responsibility and delivering societal benefit through its products by contributing to scientific advancement, legal justice, and effective market transactions.

📋 Description

• Lead experimentation and model development for AI/ML solutions in legal products • Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies) • Define agentic workflows and reasoning strategies for multi-step legal tasks • Define 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

🎯 Requirements

• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics) • Demonstrates strong experience in NLP, and LLM-based modeling • Strong experience with generative AI techniques (e.g., prompt engineering, RAG) • Experienced in designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases • Ability to design 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 • Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality) • Able to analyze large-scale legal datasets to extract insights and improve model performance

🏖️ Benefits

• country specific benefits • annual incentive bonus