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• Collaborate within the security engineering team to design and implement security tooling. • Design, build, and maintain AWS cloud infrastructure using Infrastructure as Code (Terraform). • Create and support CI/CD pipelines using GitHub Actions to enable reliable, automated deployments. • Collaborate with engineering teams on architecture, reliability, and continuous improvement. • Partner with software development teams to ensure effective adoption of security tools. • Implement monitoring, logging, and alerting to improve system reliability and visibility. • Support resilience through capacity planning, performance tuning, disaster recovery, and runbooks. • Troubleshoot issues efficiently and communicate outcomes clearly. • Deliver production-ready systems on time and within budget.

• Research and develop at least one original, data-focused enterprise story for publication during the internship. • Analyze data to identify trends, patterns, insights, and support ongoing editorial projects. • Contribute to data gathering, cleaning, and interpretation from multiple sources, including public records. • Collaborate with reporters and editors to integrate data into news and feature stories and shape story ideas. • Support the creation of data visualizations for stories and special projects.

• Create target lists of key points of contact within your portfolio of prospect accounts using Salesforce, LinkedIn, and ZoomInfo. • Develop creative engagement campaigns that drive curiosity using email, HubSpot, LinkedIn, and phone. • Discover new business opportunities by understanding a prospect’s interests, needs, and knowledge gaps through thoughtful conversations with senior decision makers. • Respond to all marketing-generated leads in a professional and timely manner to identify opportunities. • Deliver a consistent volume of meetings for Enterprise Account Managers, including detailed handover notes and briefings. • Provide prospects with a high-quality experience and positive impression. • Use Salesforce to record all activity and client interactions, ensuring data accuracy and quality.

Role Description 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. Qualifications - 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. Benefits - 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 the employee resource groups with dedicated time to volunteer. - Access to extensive learning and development resources. - Access to the employee discounts scheme via Perks at Work.

Role Description We are seeking a Senior Data Scientist I to help with 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. Qualifications - 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. Benefits - 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 the employee discounts scheme via Perks at Work.

Role Description In this role, you will analyse and interpret complex data to support business decisions and improve data quality across the insurance lifecycle. You’ll collaborate with a variety of stakeholders to deliver insights, resolve issues, and contribute to continuous improvement initiatives. This is an opportunity to combine analytical expertise with modern tools to drive efficiency and innovation. Responsibilities - Analyse data to support business decisions and clearly communicate findings - Collaborate with customers, data providers, and internal stakeholders to gather requirements and resolve issues - Perform data validation, profiling, reconciliation, and quality assessments - Investigate and resolve data issues using root-cause analysis and track remediation actions - Develop and modify queries (e.g., SQL) to support research and data quality checks - Present insights to both technical and non-technical audiences - Support data onboarding, workflow improvements, and operational efficiency initiatives (including automation/AI use) - Identify process inefficiencies and contribute to optimisation, risk management, and change initiatives Qualifications - 3+ years’ experience in data management, analysis, or customer-facing data roles - Strong analytical skills with experience handling large or complex datasets - Advanced SQL and Power BI reporting capabilities - Knowledge of data lifecycle processes (profiling, validation, reconciliation) - Experience with root-cause analysis and data quality improvement - Strong communication and stakeholder engagement skills - Exposure to APIs, data integration formats, and modern data platforms (e.g., Azure) preferred - Experience using AI/automation tools to enhance analysis and efficiency, with a proactive and detail-oriented mindset Benefits 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. Company Description LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency.

Role Description Are you a professional with a law degree who is ready to step beyond traditional practice and make a real impact? Join a team that is reimagining how organisations interpret and apply regulation—combining legal expertise, technology, and industry insight to help customers navigate complexity with confidence. This is not your typical “back-office” content role. You’ll be front and centre, shaping industry-leading regulatory content, engaging directly with customers, and influencing how the Education sector approaches compliance. Why this role stands out - Work from anywhere across Australia – Sydney, Brisbane, Canberra or fully remote - True flexibility – flexible hours with autonomy to structure your day - High-impact work – influence how major organisations meet regulatory obligations - Cutting-edge environment – combine law, AI, and innovation to deliver smarter solutions - Global exposure – collaborate across international teams and markets - Career growth – expand into thought leadership, stakeholder engagement, and product strategy About the role You’ll take ownership of regulatory content within the Property, Construction & Infrastructure sector, ensuring it is accurate, practical, and tailored to both legal and non-legal audiences. You’ll operate at the intersection of: - Legal research and interpretation - Content development and product design - Customer and industry engagement This is a highly visible role where you’ll engage directly with clients, present insights, and shape the future of regulatory content. What you’ll be doing - Own and evolve a portfolio of regulatory content across the Property, Construction, Infrastructure & Environment sector - Translate complex legislation into clear, practical guidance for customers - Monitor legislative change, regulatory developments, and industry trends - Engage with customers, regulators, and subject matter experts to shape content - Lead content projects from concept through to delivery - Support product, sales, and marketing teams with insights and content expertise - Represent the business at events, webinars, and industry forums Qualifications - A professional with a law degree (essential) and/or a legal background - Strong legal research and drafting skills - Ability to simplify complex concepts for non-legal audiences - Interest or experience in Property, Construction, Infrastructure & Environment, compliance, or regulatory environments - Confident communicator – comfortable engaging with clients and presenting ideas - Highly organised with strong project management skills - A proactive, curious mindset with a genuine interest in the Education sector Requirements - If you have experience in Commercial Leasing, Environment or Facilities Management - please apply also! Benefits - Flexible working that actually works – remote-first with optional office access - Autonomy and trust – manage your own workload and priorities - Purpose-driven work – help organisations stay compliant and operate with confidence - Innovative environment – work with AI-driven tools and forward-thinking teams - Supportive, collaborative culture – intelligent, down-to-earth team with diverse backgrounds - Wellbeing and lifestyle benefits, including additional leave, wellness initiatives, and learning opportunities Company Description Join a global leader in legal and regulatory information, known for transforming how organisations access and use critical insights to make better decisions and stay ahead of change. To learn more about opportunities with LexisNexis or RELX Global, join us here or here . Ready to apply? If you’re ready to combine your legal expertise with innovation, flexibility, and real industry impact—we’d love to hear from you. Apply now with your CV and cover letter outlining how your background aligns with the role. 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 .

Role Description Are you a collaborative Penetration Tester looking to work for a mission-driven global organization? This role supports the offensive security function within Elsevier's Security Engineering team. You will perform hands-on security testing and peer review activities, validate vulnerabilities and security controls, and support the automation of security assurance processes. This is a hands-on role for a motivated security professional eager to grow in a collaborative, fast-paced environment. The Security Assurance team supports the third-party penetration testing program, security control validation, and ongoing offensive security testing activities. Responsibilities - Tracking and triaging findings from third-party assessments, ensuring timely follow-up and remediation tracking. - Collaborating with development, platform, and product teams to communicate findings, track remediation efforts, and improve overall security posture. - Facilitating post-assessment reviews and lessons learned sessions with development teams to identify recurring security issues and promote secure development practices. - Maintaining program documentation, test records, and reporting artifacts. - Conducting penetration testing of web applications, APIs, cloud environments, and internal systems, escalating complex testing scenarios as needed. - Performing peer review of penetration testing deliverables, including test plans, findings, and final reports. - Participating in scoping exercises and contributing to the selection of appropriate testing methodologies. - Supporting security assessments of GenAI-powered applications and features, including LLM integrations, RAG pipelines, and AI agents. - Assisting in testing for AI-specific vulnerabilities such as prompt injection, jailbreaking, insecure output handling, model data leakage, and training data poisoning. - Contributing to the development of internal GenAI security testing checklists and methodologies, aligned with frameworks such as OWASP Top 10 for LLMs. Qualifications - Experience in information security, penetration testing, or a related field. - Experience or coursework in software development, DevOps, or scripting is highly desirable. - At least one relevant security certification (e.g., Security+, eJPT, PNPT, CEH, or equivalent) preferred; advanced offensive security certifications such as OSCP are a plus. - Foundational understanding of web application architecture, networking, and operating system security. - Familiarity with common penetration testing tools (e.g., Burp Suite, Nmap, Metasploit, Nuclei, or equivalent). - Working knowledge of OWASP Top 10, common CVEs, and vulnerability scoring frameworks (CVSS). - Scripting ability in at least one language (Python, Bash, PowerShell, or similar); development experience is a strong plus. - Basic understanding of cloud environments (AWS, Azure, or GCP) and associated security considerations. - Exposure to SAST/DAST tools and secure code review practices is desirable. - Awareness of GenAI security risks (prompt injection, LLM abuse, insecure AI integrations). Benefits - National Base Pay Range: $71,600 - $119,400. Geographic differentials may apply in some locations to better reflect local market rates. - If performed in Colorado, the base pay range is $71,600 - $119,400. - If performed in New York, the base pay range is $78,700 - $131,400. - If performed in New York City, the base pay range is $85,900 - $143,300. - If performed in Rochester, NY, the base pay range is $71,600 - $119,400. - If performed in New Jersey, the base pay range is $84,546 - $135,054. - This job is eligible for an annual incentive bonus. Company Description Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. - Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. - They publish a vast number of peer-reviewed journals covering a wide range of disciplines. - These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. - In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work. - They provide online platforms like ScienceDirect, Scopus, and Mendeley, which offer access to a vast repository of scholarly articles, research papers, and other scientific content.

• Lead implementation, integration, adoption, optimization, and expansion using established methodologies and best practices • Advise clinicians, operational leaders, informatics teams, executives, and technical stakeholders • Align evidence-based workflows with clinical, operational, and organizational goals • Support integration of evidence-based practice into daily clinical workflows and EHR environments • Partner with clinical, operational, technical, and EHR vendor teams to integrate Elsevier solutions into healthcare workflows • Ensure solutions are embedded effectively across clinical and operational practice • Identify and resolve workflow gaps, implementation risks, adoption barriers, usability issues, and operational dependencies • Facilitate workshops, governance meetings, workflow reviews, optimization sessions, and post-go-live support

• Develop and manage a named account list • Achieve and exceed revenue targets and other key sales metrics • Effectively work cross-functionally across the organization • Build strong, long-term relationships with key decision-makers • Conduct product demonstrations and presentations • Develop our sales playbook to enable scaling