FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior Data Scientist – Agentic AI
RELXSenior Data Scientist III leading design and validation of AI-driven capabilities. Collaborating with engineers to create scalable, customer-facing solutions in the legal domain.
Posted 4/14/2026full-timeCalifornia, District of Columbia, North Carolina, Texas, Washington • 🇺🇸 United StatesSenior💰 $115,400 - $192,300 per yearWebsite
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- 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
What you’ll need- Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics)
- Strong experience in machine learning, NLP, and LLM-based modeling
- Proven 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
- 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
Comp & perks- Eligible for an annual incentive bonus
- Country specific benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningnatural language processinglarge language modelsgenerative AIprompt engineeringhybrid searchdata analysismodel evaluationPythonagent frameworks
Soft Skills
technical leadershipmentoringcollaborationcommunication
Certifications
Bachelor’s degreeMaster’s degree