Careers at RELX

Are you excited by the opportunity to serve as the technical anchor of a cross-functional engineering squad, driving architecture decisions, mentoring peers, and shaping the future of a next-generation healthcare data platform? Would you like to work in an AI-accelerated development environment where you can leverage tools like GitHub Copilot while building scalable Java, React, and Python solutions that directly improve healthcare data quality and patient outcomes? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Healthcare vertical, we help payers and providers improve data quality, operational efficiency, and member outcomes through market-leading provider data management solutions. You can learn more at https://risk.lexisnexis.com. About the Team You'll join a collaborative Healthcare engineering squad at LexisNexis Risk Solutions, building and modernizing the platforms behind provider data management and identity solutions for payers and providers. Our cross-functional agile teams - engineers, QA, product, and analysts - value strong technical ownership, accountability, and shared delivery. We embrace an AI-accelerated SDLC and modern Copilot-based workflows, so you'll have real influence on architecture, quality, and outcomes from day one. About the Role This position performs complex research, design, and software development within our provider data management product line, and is expected to serve as the technical anchor for a cross-functional engineering squad. While this is an individual-contributor role, the successful candidate will operate with a high degree of technical ownership and influence—setting design direction, guiding the team through delivery, and acting as the primary technical point of contact across product, QA, and partner squads. You will balance hands-on engineering across a suite of full-stack Java/React applications with strong technical ownership: reviewing code, driving estimates and release readiness, resolving complex issues, and mentoring peers. You will also build and support Python-based data-processing and delivery pipelines that generate and transmit data to downstream clients, and work within our AI-accelerated software development lifecycle using approved AI coding assistants to raise quality and velocity. Over time, this role will help extend our platform toward a consolidated, next-generation healthcare data platform. Responsibilities Act as the squad's technical anchor, owning design direction and safeguarding quality, security, and performance across its applications, services, and data pipelines. Design/Build and maintain Java Spring Boot apps, React UI apps and Python-based data-processing and delivery pipelines, ensuring accurate, reliable, and timely data delivery to downstream clients. Lead code reviews and uphold coding best practices; complete complex feature development and bug fixes. Drive backlog refinement, technical estimation, and sprint/release readiness in an Agile environment. Serve as the primary technical liaison for cross-team dependencies, integrations, and risk resolution. Champion AI-accelerated SDLC practices and mentor peers on effective, responsible use of approved AI tooling. Qualifications BS in Computer Science/Engineering or equivalent experience. 5+ years of software engineering experience, with a demonstrated track record of owning technical direction and guiding delivery on a cross-functional team. Proven full-stack delivery in Java and a modern JavaScript framework, plus demonstrated Python experience building data-processing or data-delivery pipelines. Exposure to AI-assisted development workflows. Technical Skills Advanced proficiency in Java / J2EE and the Spring Boot framework for building RESTful microservices. Proficiency in JavaScript/TypeScript and React for modern, component-based front ends. Proficiency in Python for building and maintaining data-processing and delivery pipelines—including data transformation, delta/batch file generation, validation, and automated client data delivery. Working knowledge of workflow orchestration and scheduled batch processing (e.g., Airflow or equivalent), and experience with distributed or large-scale data-processing frameworks. Solid grasp of relational and NoSQL data stores (SQL, document databases) and search/indexing technologies. Experience with cloud-native development on Azure (AKS, App Services, Cosmos, Others), Docker, and Kubernetes. Strong command of CI/CD (GitHub Actions/Azure DevOps), Git branching strategy, and test-driven development. AI-accelerated development: hands-on experience with AI coding assistants (e.g., GitHub Copilot in VS Code and IntelliJ), effective prompt engineering, and AI-assisted code review, test generation, and refactoring. U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates. If performed in New Jersey, the base pay range is $102,333 - $163,467. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Are you excited by the opportunity to serve as the technical anchor of a cross-functional engineering squad, driving architecture decisions, mentoring peers, and shaping the future of a next-generation healthcare data platform? Would you like to work in an AI-accelerated development environment where you can leverage tools like GitHub Copilot while building scalable Java, React, and Python solutions that directly improve healthcare data quality and patient outcomes? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Healthcare vertical, we help payers and providers improve data quality, operational efficiency, and member outcomes through market-leading provider data management solutions. You can learn more at https://risk.lexisnexis.com. About the Team You'll join a collaborative Healthcare engineering squad at LexisNexis Risk Solutions, building and modernizing the platforms behind provider data management and identity solutions for payers and providers. Our cross-functional agile teams - engineers, QA, product, and analysts - value strong technical ownership, accountability, and shared delivery. We embrace an AI-accelerated SDLC and modern Copilot-based workflows, so you'll have real influence on architecture, quality, and outcomes from day one. About the Role This position performs complex research, design, and software development within our provider data management product line, and is expected to serve as the technical anchor for a cross-functional engineering squad. While this is an individual-contributor role, the successful candidate will operate with a high degree of technical ownership and influence—setting design direction, guiding the team through delivery, and acting as the primary technical point of contact across product, QA, and partner squads. You will balance hands-on engineering across a suite of full-stack Java/React applications with strong technical ownership: reviewing code, driving estimates and release readiness, resolving complex issues, and mentoring peers. You will also build and support Python-based data-processing and delivery pipelines that generate and transmit data to downstream clients, and work within our AI-accelerated software development lifecycle using approved AI coding assistants to raise quality and velocity. Over time, this role will help extend our platform toward a consolidated, next-generation healthcare data platform. Responsibilities Act as the squad's technical anchor, owning design direction and safeguarding quality, security, and performance across its applications, services, and data pipelines. Design/Build and maintain Java Spring Boot apps, React UI apps and Python-based data-processing and delivery pipelines, ensuring accurate, reliable, and timely data delivery to downstream clients. Lead code reviews and uphold coding best practices; complete complex feature development and bug fixes. Drive backlog refinement, technical estimation, and sprint/release readiness in an Agile environment. Serve as the primary technical liaison for cross-team dependencies, integrations, and risk resolution. Champion AI-accelerated SDLC practices and mentor peers on effective, responsible use of approved AI tooling. Qualifications BS in Computer Science/Engineering or equivalent experience. 5+ years of software engineering experience, with a demonstrated track record of owning technical direction and guiding delivery on a cross-functional team. Proven full-stack delivery in Java and a modern JavaScript framework, plus demonstrated Python experience building data-processing or data-delivery pipelines. Exposure to AI-assisted development workflows. Technical Skills Advanced proficiency in Java / J2EE and the Spring Boot framework for building RESTful microservices. Proficiency in JavaScript/TypeScript and React for modern, component-based front ends. Proficiency in Python for building and maintaining data-processing and delivery pipelines—including data transformation, delta/batch file generation, validation, and automated client data delivery. Working knowledge of workflow orchestration and scheduled batch processing (e.g., Airflow or equivalent), and experience with distributed or large-scale data-processing frameworks. Solid grasp of relational and NoSQL data stores (SQL, document databases) and search/indexing technologies. Experience with cloud-native development on Azure (AKS, App Services, Cosmos, Others), Docker, and Kubernetes. Strong command of CI/CD (GitHub Actions/Azure DevOps), Git branching strategy, and test-driven development. AI-accelerated development: hands-on experience with AI coding assistants (e.g., GitHub Copilot in VS Code and IntelliJ), effective prompt engineering, and AI-assisted code review, test generation, and refactoring. U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates. If performed in New Jersey, the base pay range is $102,333 - $163,467. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Are you excited by the opportunity to serve as the technical anchor of a cross-functional engineering squad, driving architecture decisions, mentoring peers, and shaping the future of a next-generation healthcare data platform? Would you like to work in an AI-accelerated development environment where you can leverage tools like GitHub Copilot while building scalable Java, React, and Python solutions that directly improve healthcare data quality and patient outcomes? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Healthcare vertical, we help payers and providers improve data quality, operational efficiency, and member outcomes through market-leading provider data management solutions. You can learn more at https://risk.lexisnexis.com. About the Team You'll join a collaborative Healthcare engineering squad at LexisNexis Risk Solutions, building and modernizing the platforms behind provider data management and identity solutions for payers and providers. Our cross-functional agile teams - engineers, QA, product, and analysts - value strong technical ownership, accountability, and shared delivery. We embrace an AI-accelerated SDLC and modern Copilot-based workflows, so you'll have real influence on architecture, quality, and outcomes from day one. About the Role This position performs complex research, design, and software development within our provider data management product line, and is expected to serve as the technical anchor for a cross-functional engineering squad. While this is an individual-contributor role, the successful candidate will operate with a high degree of technical ownership and influence—setting design direction, guiding the team through delivery, and acting as the primary technical point of contact across product, QA, and partner squads. You will balance hands-on engineering across a suite of full-stack Java/React applications with strong technical ownership: reviewing code, driving estimates and release readiness, resolving complex issues, and mentoring peers. You will also build and support Python-based data-processing and delivery pipelines that generate and transmit data to downstream clients, and work within our AI-accelerated software development lifecycle using approved AI coding assistants to raise quality and velocity. Over time, this role will help extend our platform toward a consolidated, next-generation healthcare data platform. Responsibilities Act as the squad's technical anchor, owning design direction and safeguarding quality, security, and performance across its applications, services, and data pipelines. Design/Build and maintain Java Spring Boot apps, React UI apps and Python-based data-processing and delivery pipelines, ensuring accurate, reliable, and timely data delivery to downstream clients. Lead code reviews and uphold coding best practices; complete complex feature development and bug fixes. Drive backlog refinement, technical estimation, and sprint/release readiness in an Agile environment. Serve as the primary technical liaison for cross-team dependencies, integrations, and risk resolution. Champion AI-accelerated SDLC practices and mentor peers on effective, responsible use of approved AI tooling. Qualifications BS in Computer Science/Engineering or equivalent experience. 5+ years of software engineering experience, with a demonstrated track record of owning technical direction and guiding delivery on a cross-functional team. Proven full-stack delivery in Java and a modern JavaScript framework, plus demonstrated Python experience building data-processing or data-delivery pipelines. Exposure to AI-assisted development workflows. Technical Skills Advanced proficiency in Java / J2EE and the Spring Boot framework for building RESTful microservices. Proficiency in JavaScript/TypeScript and React for modern, component-based front ends. Proficiency in Python for building and maintaining data-processing and delivery pipelines—including data transformation, delta/batch file generation, validation, and automated client data delivery. Working knowledge of workflow orchestration and scheduled batch processing (e.g., Airflow or equivalent), and experience with distributed or large-scale data-processing frameworks. Solid grasp of relational and NoSQL data stores (SQL, document databases) and search/indexing technologies. Experience with cloud-native development on Azure (AKS, App Services, Cosmos, Others), Docker, and Kubernetes. Strong command of CI/CD (GitHub Actions/Azure DevOps), Git branching strategy, and test-driven development. AI-accelerated development: hands-on experience with AI coding assistants (e.g., GitHub Copilot in VS Code and IntelliJ), effective prompt engineering, and AI-assisted code review, test generation, and refactoring. U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates. If performed in New Jersey, the base pay range is $102,333 - $163,467. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Senior Cloud & AI Security Engineer Enthusiastic about securing cloud platforms and AI-driven solutions in a rapidly evolving technology landscape? Do you enjoy designing security frameworks, enabling secure development practices, and partnering with engineering teams to build resilient, scalable, and compliant cloud and AI environments? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Cloud & AI Security Enablement Engineer to provide hands-on cloud security engineering capability while also enabling the secure and effective use of AI across Information Security and product engineering teams. This role sits between Security Architecture, BISO/Application Security, Cloud/Platform Engineering, and GRC. It is designed to reduce manual workload on Security Architecture and BISO/Application Security by turning recurring security requirements into reusable cloud guardrails, automated controls, AI-assisted workflows, secure design patterns, and developer-facing enablement materials. The successful candidate will be a practical builder and security partner who can operate cloud security controls, support secure AI adoption, and use AI to improve the speed and consistency of security delivery. Key Responsibilities: Cloud Security Engineering Build and maintain reusable cloud security guardrails for identity, logging, encryption, network segmentation, secrets management, storage, workloads, containers, serverless services, and data protection. Translate security architecture standards into deployable cloud patterns, reference implementations, templates, and engineering-ready requirements. Partner with cloud, platform, DevOps, and product engineering teams to embed security controls into cloud landing zones, CI/CD pipelines, infrastructure-as-code workflows, and operational processes. Support the implementation and tuning of CSPM, CNAPP, cloud workload protection, IaC scanning, secrets scanning, and related cloud security tooling. Develop policy-as-code and control-as-code mechanisms to prevent, detect, and report common cloud misconfigurations. Support cloud-native vulnerability and misconfiguration remediation by providing prioritization logic, remediation guidance, and reusable fix patterns. Establish cloud security metrics and dashboards covering control adoption, misconfiguration trends, remediation progress, recurring issues, and exception patterns. AI Security Enablement Design and maintain AI-assisted workflows for security intake triage, threat model drafting, architecture review summaries, control mapping, remediation guidance, and risk statement generation. Build prompt libraries, review rubrics, validation steps, and human-in-the-loop processes for approved AI use within Information Security. Identify repetitive BISO, AppSec, and Security Architecture tasks that can be safely accelerated through AI-assisted processes. Partner with GRC, Legal, Privacy, and security leadership to ensure AI-assisted security workflows are auditable, explainable, and aligned with internal risk expectations. Measure the effectiveness of AI-assisted workflows, including time saved, consistency improvements, review quality, and reduction in repeat manual work. Secure AI Application and Cloud-AI Guardrails Define secure design patterns for AI-enabled applications, including LLM-based features, retrieval-augmented generation, AI agents, AI APIs, copilots, and automation workflows. Establish cloud security requirements for AI workloads, including identity, secrets, data storage, network access, observability, workload isolation, and third-party AI service integrations in partnership with Sec Architecture & AppSec. Support AI application threat modelling and risk reviews in partnership with BISO/AppSec. Create developer-facing guidance for safe use of AI coding assistants, AI APIs, data ingestion, vector stores, model outputs, and AI-generated code in partnership with BISO/AppSec. Security Enablement and Workload Reduction Convert recurring BISO/AppSec and Security Architecture questions into reusable guidance, decision trees, approved patterns, checklists, and self-service workflows. Build lightweight intake and routing mechanisms that help determine when a request needs BISO review, AppSec review, architecture review, GRC input, or engineering remediation. Create and maintain a library of approved cloud and AI security patterns that product and engineering teams can reuse. Help reduce one-off security consultations by embedding approved security decisions into tooling, templates, and standard delivery workflows. Requirements: Essential - Experience in machine learning engineering. Strong experience in cloud security engineering, application security, security architecture, DevSecOps, or security automation. Hands-on experience with at least one major cloud platform such as AWS or Azure. Practical knowledge of IAM, logging, encryption, secrets management, network security, storage security, vulnerability management, and secure CI/CD. Experience with infrastructure-as-code and cloud security tooling such as CSPM, CNAPP, IaC scanning, SAST, SCA, secrets scanning, or policy-as-code. Ability to translate security standards and architecture requirements into practical implementation patterns. Familiarity with generative AI, LLM-enabled applications, AI-assisted development, or AI security risks. Strong scripting, automation, workflow design, or tooling integration experience. Excellent written and verbal communication skills, with the ability to create clear security guidance for engineering teams. Desirable- Experience building cloud security guardrails, landing zone controls, reusable modules, or automated remediation workflows. Experience supporting regulated environments or environments with strict customer, contractual, or compliance obligations. Familiarity with AI security frameworks and guidance such as the NIST AI Risk Management Framework, NIST Generative AI Profile, OWASP Top 10 for LLM Applications, or Cloud Security Alliance AI security guidance. Experience with RAG architecture, AI agents, vector databases, AI APIs, prompt engineering, or AI application threat modelling. Experience building security knowledge assistants, prompt libraries, AI-assisted review workflows, or security automation. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. 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. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business- LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. . We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Are you passionate about building trustworthy Generative AI solutions that deliver accurate, source-grounded results? Do you enjoy solving complex retrieval and search challenges while shaping the next generation of AI-powered legal and professional technology? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html). About the Role We are seeking an AI Engineer focused on Retrieval-Augmented Generation (RAG) to help design, build, and optimize AI-powered experiences. In this role, you will contribute to the development of retrieval systems, evaluation frameworks, and source-grounded Generative AI solutions that enable users to access trustworthy and relevant information. You will work with advanced AI technologies while helping ensure quality, accuracy, and responsible AI practices. Responsibilities Design, build, and optimize Retrieval-Augmented Generation (RAG) applications. Develop and manage document ingestion, chunking, embedding generation, retrieval, reranking, and source-grounded response workflows. Design and operate vector search solutions using modern vector database technologies. Validate retrieval quality, citation accuracy, relevance, coverage, and factual grounding using reproducible evaluation datasets. Collaborate with cross-functional teams to improve response quality and reduce hallucinations. Implement hybrid search strategies combining keyword, metadata, semantic/vector search, and reranking techniques. Monitor and evaluate retrieval performance, latency, cost, and AI system quality. Support the development of scalable and responsible Generative AI solutions across legal and professional information products. Requirements Hands-on experience with Retrieval-Augmented Generation (RAG) applications, including document ingestion, chunking, embedding generation, retrieval, reranking, and source-grounded responses. Strong understanding of Generative AI and LLM capabilities, limitations, hallucination mitigation, and response-quality evaluation. Experience designing and operating vector search solutions using Qdrant, Pinecone, pgvector, LanceDB, OpenSearch vector search, or equivalent technologies. Ability to validate retrieval quality, citation accuracy, relevance, coverage, and factual grounding using reproducible evaluation datasets. Preferred Qualifications Experience building AI agents or multi-step workflows with tool use, memory, and human review. Familiarity with agentic and LLM frameworks such as Google ADK, LangChain, LiteLLM, or MCP. Experience with hybrid search strategies combining keyword, metadata, semantic/vector search, and reranking. Experience applying RAG or Generative AI to legal, financial, publishing, or other highly regulated content domains. Knowledge of LLM observability, including monitoring latency, cost, retrieval performance, and unsafe or unsupported outputs. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern 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. About the Business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Are you excited to help shape the future of AI-powered legal technology using generative AI, RAG architectures, and agentic workflows? Do you thrive in building scalable AI solutions that deliver measurable customer value while contributing directly to production-quality software? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( http://www.relx.com ), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About the Role As a Senior II Data Scientist, you will lead the development of innovative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems. You will work closely with product managers, domain experts, and stakeholders to translate business needs into scalable, production-ready solutions while contributing directly to software development and continuous innovation. Responsibilities Lead the end-to-end lifecycle of AI projects (leveraging LLMs, RAG architectures, and agentic workflows), from problem definition and experimentation through deployment, evaluation, and continuous improvement. Monitor, evaluate and optimize AI system performance using metrics, user feedback, and experimentation frameworks. Partner with product managers, domain experts, and stakeholders to prioritize opportunities while communicating results and tradeoffs. Contribute directly to software development as an individual contributor. Design and implement scalable AI solution architectures, including data ingestion, retrieval, generation, and evaluation components. Build and enhance RAG-based applications and AI-powered products. Collaborate across teams to identify and solve complex information retrieval and NLP challenges. Support the continuous improvement of AI systems through experimentation, testing, and performance analysis. Requirements 2 to 5 years of experience in Data Scientist or similar roles. At least 1 year of hands-on experience building RAG-based applications and agentic AI systems. Ability to design and explain end-to-end AI solution architectures, including data ingestion, retrieval, generation, and evaluation components. Strong proficiency in Python, modern AI frameworks (e.g., LangChain, Google ADK), cloud-based development, and software engineering best practices for production of AI systems. Experience working with NLP, document processing, search, recommendation systems, or related information retrieval problems. Familiarity with embeddings, vector search, and retrieval mechanisms. Ability to evaluate AI system performance and diagnose issues related to answer quality, retrieval, hallucinations, or model behavior. Experience implementing agentic workflows and multi-agent architectures. Proven ability to work closely with Product and stakeholders to understand business needs, gather requirements, and translate them into scalable AI solutions. Strong communication skills in English, including the ability to explain technical concepts to different audiences. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern 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. About the Business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Senior Data Scientist I Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Data Scientist I to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP 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, IP experts, and engineers to align solutions with user needs. Requirements: Degree 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. Strong coding skills in Python. 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., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. · 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. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP 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, IP experts, and engineers to align solutions with user needs. Requirements: Degree 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. Strong coding skills in Python. 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., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. · 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. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .