RELX

Data Scientist

• 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.

Senior Data Scientist II

Product Manager

• Lead the product strategy, roadmap, and execution for Shadow Health solutions, with a focus on AI-enabled clinical simulation, precision learning, and measurable learner outcomes
• Define and advance the AI strategy, including data loops, evaluation frameworks, and build, buy, or partner decisions that create durable product differentiation
• Use customer insight, market trends, competitive intelligence, and performance data to prioritize opportunities and guide product decisions
• Partner with engineering, data science, sales, marketing, and customer-facing teams to deliver products, launches, positioning, pricing, and adoption plans
• Establish product KPIs and evaluate success across learning outcomes, AI quality, customer adoption, revenue impact, and business performance
• Communicate product vision and AI strategy clearly to technical and non-technical stakeholders, including academic and executive audiences
• Recruit, manage, coach, and develop a high-performing product management team

Senior Data Scientist II

Director, Product Management – Nursing Health Education