Jobs at RELX

• Prospecting for new business sales through a high volume of cold calling and follow up in assigned territory
• Learning, understanding and demonstrating our world class products to prospects

• Prepare and review financial reports, statements, and reconciliations to ensure accuracy and compliance with accounting standards.
• Monitor and improve accounting processes, ensuring efficiency and adherence to best practices.

• Lead Ops / SRE teams to build / maintain “Infrastructures as Code”, software services (PaaS and SaaS), security policies and continuous integration / deployment processes
• Remove technical debt, deliver security hardening, and drive continued optimization of cloud based environments

• Design, develop, and maintain scalable automation frameworks using Selenium or Playwright with strong JavaScript/TypeScript expertise.
• Translate product requirements into effective automated test strategies, optimizing and refactoring frameworks for reliability, maintainability, and performance.

• Developing and enhancing statistical and machine learning models using structured and unstructured data to generate predictive insights and attributes.
• Design and building data pipelines and analytical solutions that support risk segmentation and insurance use cases.

• You must be a U.S. citizen to apply for this position.
• You must successfully pass a background investigation and achieve Public Trust security clearance.

• Act as the technical lead and primary escalation point for ServiceNow developers.
• Provide hands-on guidance in development, including:

Business Rules
Script Includes
Client Scripts
Flow Designer
UI Actions
Service Portal components
Scoped Applications
APIs

• Own full business cost of sales (COS), including analysis, forecasting, variance explanation, trend identification, and communication with business partners
• Provide revenue analysis, forecast support, business review preparation, and product-level financial visibility for two major product suites.

• Provide architectural direction and code-level guidance.
• Establish engineering best practices for ML system design, testing, and deployment.

• Leading the development of advanced AI and machine learning models to solve complex business problems
• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions

• Lead, mentor, and grow a team of 4-5 ML engineers.
• Provide architectural direction and code-level guidance.

• Partnering closely with Product, Engineering, Data Science, and Clinical stakeholders, and plays a key role in integrating AI-driven experiences responsibly and effectively into our products.
• Defining and evolving the UX vision and strategy aligned to Clinical Solutions business goals and user needs.

• Setting and driving strategy for evaluating generative AI in clinical and medical education contexts, developing clear frameworks for assessing medical knowledge representation
• Co-developing evaluation roadmaps with product teams and medical professionals to ensure AI solutions meet clinical accuracy standards and educational objectives

• Identify, prioritize, and validate vertical-specific AI use cases that improve product performance, workflow efficiency, decision quality, or customer experience.
• Partner with Product and Technology teams to translate business needs into clear AI-enabled 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
• Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

• Lead and manage day-to-day data entry operations, including the input and verification of standard and complex coded or uncoded data
• Supervise and develop a small team of data entry associates and/or team leads, ensuring high performance and accountability

• Proven ability to l mentor, and grow engineering teams, including managing performance, career development, and team health
• Established track record of creating high-performing, collaborative team environments and reducing knowledge silos

• Assisting with analyzing data to help identify trends, answer questions, and support decision-making.
• Managing multiple tasks and adjusting to changing priorities in a fast-paced environment.

• Interacts with customers regularly and thoroughly understands their use cases and problems to solve.
• Validates product strategy based on knowledge of customers, competitors, customer feedback, internal data, and market trends.

• Architect and implement scalable ML/LLM systems in production.
• Build and deploy LLM applications, including RAG pipelines and agentic systems.