Job Openings at LexisNexis South Africa

About the Role

• The position requires an experienced and driven salesperson with expertise in software sales. The Salesperson is responsible for driving new, up- and cross sales across LexisNexis solutions lines.
• The Salesperson’s main accountabilities will be too pro-actively prospect, qualify and close new, up- and cross sell sales opportunities. The role works in close partnership with internal and external partners to proactively drive growth ew sales opportunities.

Responsibilities

• Deliver the annual financial performance targets
• Drive customer retention strategies
• Proactively generate pipeline opportunities
• Manage the sales pipeline with precision
• Lead deal structuring, negotiation, and closing
• Develop and execute an effective sales strategy
• Manage multiple sales opportunities concurrently

Requirements

• Minimum 5 years sales and software experience in technology sales.
• Valid Driver’s license and reliable vehicle to use for execution of customer visits  
• Proven adoption of AI in task execution to improve efficiency and sales success 
• Proficiency with AI sales platforms, including tools such as ChatGPT Enterprise, Salesforce, Gong, and Seismic (or equivalent). 
• Demonstrated success in a quota bearing sales environment with a consistent record of target achievement. 
• Strong consultative selling skills, with the ability to conduct both face to face and social selling/digital selling interactions. 
• Ability to work effectively in a fast-paced, constantly evolving and rapidly growing product sales environment. 
• Exceptional interpersonal and communication skills. Strong critical thinking, problem solving, and strategic planning capabilities

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About the Role

• The Data Analyst III partners with internal teams to understand business needs, analyze data, and support informed decision‑making. This role prepares and analyzes datasets, develops clear visualizations, and communicates insights in ways that support strategic and operational outcomes. The position works independently on complex analytics tasks and may lead smaller projects with guidance when needed.

Responsibilities

• Apply analytics best practices, including data quality, documentation, reproducibility, and appropriate metric use.
• Manage and deliver analytics projects, ensuring clear timelines, communication, and stakeholder alignment.
• Collaborate with stakeholders to clarify business questions and recommend relevant analyses, metrics, or KPIs.
• Prepare, clean, and transform datasets—including large or complex data—using effective blending, validation, and refinement techniques.
• Conduct intermediate statistical analyses to identify trends, patterns, and drivers.
• Create accessible and meaningful visualizations using tools such as Tableau or Power BI, tailoring outputs to audience needs.
• Integrate data and visuals from multiple sources to communicate clear, actionable insights.
• Lead small or operational analytics efforts, including scoping, task planning, progress tracking, and risk escalation.
• Support team members through peer reviews, shared resources, and collaborative problem‑solving.
• Maintain awareness of customer needs, market context, and how business changes affect data interpretation.
• Use approved AI tools to streamline routine analytics tasks while ensuring accuracy and completeness.

Requirements 

• Bachelor’s or master’s degree in data Analytics, Data Science, Mathematics, a related field.
• Ability to work with complex data structures and apply effective data preparation and quality techniques.
• Strong experience with SQL and Python for querying, transformation, and analysis.
• Experience using visualization tools Tableau, Power BI to communicate insights.
• Experience applying intermediate statistical methods to business challenges.
• Familiarity with modern data platforms Databricks or comparable environments
• Strong communication skills, with the ability to translate complex topics into clear insights for diverse audiences.
• Ability to organize work, manage dependencies, and contribute to structured project environments.
• Collaborative mindset with openness to learning and supporting team success.
• Comfortable working an overlap with the US 11:00am–19:00pm, Monday to Friday SAST.

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About the Role

• The Senior Data Analyst I works closely with business partners to understand needs, clarify problems, and apply data-driven approaches to inform decisions. This role develops insights, builds analytical solutions, creates clear visualizations, and communicates findings in an accessible way. The Senior Data Analyst I independently leads complex analytics projects and supports the growth of junior team members.

Responsibilities

• Collaborate with stakeholders to understand business goals and identify meaningful analyses, metrics, and success measures.
• Help define measurable outcomes aligned with organizational objectives.
• Prepare, transform, and validate data, including work with large or complex datasets.
• Apply statistical methods and analytical modeling to assess trends, drivers, and potential outcomes.
• Develop clear visualizations and data stories tailored to diverse audiences.
• Lead analytics projects end-to-end, including scoping, planning, and managing timelines.
• Serve as a subject matter expert in assigned areas and provide mentorship to junior analysts.
• Build understanding of related disciplines to improve analysis and interpretation.
• Use approved AI tools to streamline work—such as drafting analyses, summarizing findings, generating code, or documenting workflows—while ensuring accuracy and quality.
• Create reusable data products that support users at varying levels of data literacy (e.g., metric bots, guided dashboards).

Requirements 

• Bachelor’s or master’s degree in data Analytics, Data Science, Mathematics.
• 3–5 years of experience in analytics, reporting, or data-focused roles.
• Strong ability to understand complex data structures and apply advanced data preparation and quality techniques.
• Experience using intermediate statistical methods for business analysis.
• Proficiency with SQL and Python for querying, transformation, and analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI) and designing dashboards for business users.
• Familiarity with modern analytics platforms (e.g., Databricks or similar).
• Strong project execution skills, including the ability to organize work, manage multiple priorities, communicate progress, and address obstacles.
• Ability to craft effective prompts for AI tools and refine outputs using domain knowledge.
• Clear communication skills, with the ability to explain technical concepts to non-technical audiences.
• Comfortable working an overlap with the US 11:00am–19:00pm, Monday to Friday SAST.

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About the role:

• A Data Scientist III should understand best practices and processes and be able to execute them independently, reviewing requirements and results with supervisors. Individuals in this role should work with managers to define project scope, and then execute the necessary methods to develop, test and deliver outcomes. In this role, you will design and improve NLP and retrieval systems that power legal research and AI-assisted workflows. You will contribute directly to embedding-based search, retrieval-augmented generation (RAG), and large language model (LLM) quality improvements, with a strong focus on evaluation, relevance, and measurable impact. Collaboration is central: you will work together with Software Engineers and AI Platform teams to ensure scalable, reliable, and high-quality solutions.

Responsibilities:

• NLP pipelines for legal text ingestion and processing
• Embedding-based retrieval and search relevance
• Improving response quality in RAG/LLM systems
• Model evaluation and quality measurement
• Collaborating closely with Software Engineers and AI Platform teams
• Primarily provide support to more senior Data Scientists
• Pulls data, cleans data, builds and maintains existing models
• Participates in result presentation to internal stakeholders

Requirements:

• At least an undergraduate degree in relevant field and 2+ years of relevant work experience Or a master's degree in a relevant field
• At least 2+ years’ experience in any of the roles (Data engineer, Data analyst, Machine learning engineer)
• Python (2 years exp.)
•  Feature engineering, model training, evaluation, and error analysis
• Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms
• Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT, large language models and prompt engineering.
• Strong Python, Scala or Java background
• Knowledge of relational and NoSQL databases (e.g. Postgres, Elasticsearch/ OpenSearch, AWS Neptune)

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About the Role

• This role combines finance business partnering with shared services coordination, supporting the effective operation, governance, and performance of the South Africa Shared Services organisation within a global context.
• You’ll work closely with senior stakeholders across functions and geographies, providing financial insight, coordinating governance and operating rhythms, and helping shared services operate with clarity, discipline, and purpose.
• While collaboration with the LexisNexis South Africa commercial business is important, the role is firmly anchored within Shared Services and focused on enabling shared services as a distinct enterprise capability.
• The ideal candidate brings a positive, proactive, and pragmatic mindset — someone who is comfortable operating in ambiguity, enjoys connecting people and processes, and can combine financial rigour with strong stakeholder engagement. You’ll be someone who takes ownership, builds credibility through insight and reliability, and contributes to a collaborative, delivery-focused culture.

Responsibilities

Finance Business Partner – South Africa Shared Services (50%)

• Act as a trusted finance partner to shared services leadership and key functional stakeholders
• Provide clear, credible financial insight to support planning, prioritisation, and decision-making in a matrixed environment
• Lead and support budgeting, forecasting, and planning processes for shared services including overhead cost allocations
• Deliver insightful monthly performance analysis, highlighting key trends, risks, and opportunities
• Support shared services leaders in articulating cost, value, and performance to regional and global stakeholders
• Support scenario analysis and financial assessments related to growth, change, and scaling initiatives
• Contribute to productivity, efficiency, and cost-management initiatives in partnership with operational leaders
• Ensure financial information is accurate, timely, and well understood by non-finance stakeholders

Shared Services Coordination (50%)

• Act as a key point of connection between Shared Services leadership, Global Technology, Global Operations, and corporate functions, helping to clarify ownership and manage interdependencies
• Coordinate shared services activities across functions to ensure alignment with agreed objectives, priorities, and governance requirements
• Support the application of Group policies, local statutory requirements, and governance standards across shared services including Black Economic Empowerment (BEE) tracking and reporting in partnership with HR as well as internal and external audit processes
• Supporting the development of a consistent shared services culture, identity, and operating discipline across functions, reinforcing shared services as a distinct organisational capability
• Coordinate management forums, operational reviews, and reporting cycles involving stakeholders across functions, regions, and reporting lines
• Ensure appropriate documentation, approvals, and administrative processes are maintained in line with local and global expectations
• Facilitate growth in the shared service across RELX while contributing to the evolution of governance and operating practices as the organisation grows and scales

Requirements

• Bachelor’s degree in Finance, Accounting, Economics, or a related field
• Ideally a qualified accountant (CA(SA), CIMA, ACCA, or equivalent), but not essential
• At least 5 years demonstrated experience in finance business partnering, shared services finance, or operational finance
• Experience in a shared service environment preferred
• Proven experience in budgeting, forecasting, and performance analysis
• Strong analytical capability, with the ability to translate financial information into practical insights
• High attention to detail, combined with an ability to operate at an enterprise and cross-functional level
• Strong stakeholder management skills and confidence working with senior leaders in a matrixed environment
• A proactive, organised, and solutions-oriented approach to work

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About the Role

• As a Senior Data Engineer at LexisNexis Intellectual Property (LNIP), you will play a key role in delivering high-quality, scalable data solutions that power our Strategic Data Platform — the backbone for products like PatentSight+ and other analytics offerings.
• In this role, you will design data pipelines, mentor team members, promote engineering best practices, and help deliver customer datasets using Databricks, APIs, and event-driven systems. You will manage complex tasks, influence architecture decisions, and work closely with stakeholders. This position suits those who thrive on large-scale data challenges, team development, and platform growth.

Responsibilities:

• Designing, implementing, and optimising scalable data pipelines using Python, PySpark, and Databricks.
• Driving the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar).
• Taking ownership of end-to-end features — from scoping and development to deployment and monitoring.
• Leading and participating in technical design discussions, contributing to architectural improvements and long-term data strategy.
• Mentoring and coaching junior engineers actively while supporting their technical and professional development.
• Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
• Conducting peer code reviews, upholding code quality standards, and championing continuous improvement practices.
• Contributing to the team’s agile delivery process and provide input during planning and retrospectives.

Requirements:

• Have extensive experience in data engineering or backend software engineering with a data focus.
• Be proficient in Python, PySpark, and working within Databricks environments.
• Have hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing.
• Have a solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures.
• Have experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling.
• Have a proven track record of mentoring or coaching other engineers.
• Have effective communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders.
• Be familiar with agile development practices.

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About the Role

• As Senior Editor, you will be part of the UK team delivering the Digest: Annotated British, Commonwealth and European Cases.

Responsibilities

• Conducting substantive legal research and analysis of case law across UK, Commonwealth and European jurisdictions to inform and verify published content
• Planning, organising and editing material for publication as discrete volumes. Liaising with senior team members and others with regards to content and any other issues
• Reviewing collated content and copyediting and styling it prior to publication, ensuring all content is of required quality
• Producing and checking annual consolidated indexes and tables of cases material and supporting preparation of annual cumulative supplement
• Preparing content for print publication
• Ensuring all editing follows house style and all material included is accurate by conducting legal research/monitoring legal developments
• Flagging risks to publishing schedule, mitigating risks where possible
• Collaborating closely with offshore production team/vendors/freelancers and dealing with day-to-day operational problems

Requirements

• Experience in legal publishing and/or legal practice
• Experience demonstrating a clear understanding of the way English law develops (both the legislative process and common law) and of conducting independent legal research
• Have editorial skills and excellent written English as well as the ability to understand, navigate and present complex legal material articulately and accurately
• Show interpersonal skills, a positive attitude, and professional manner for routine contact with geographically diverse colleagues, customers and vendors
• Have excellent time management skills to meet rigid and frequent deadlines
• Be technically proficient in MS Office (Outlook, Word, Excel), SharePoint and interested in learning new systems/technologies

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About Role:   

• As a Data Engineer at LexisNexis Intellectual Property (LNIP), you’ll contribute to building and maintaining our next-generation Strategic Data Platform. This platform ingests, enriches, and transforms global patent and IP-related data to power key products like PatentSight+, as well as a growing ecosystem of internal tools and customer-facing solutions.
• In this early-career role, you will collaborate with senior engineers and technical leads to design robust data pipelines, apply engineering best practices, and support the delivery of high-quality data through modern platforms such as Databricks, APIs, and event-driven systems. You'll gain practical experience working at scale while contributing to the delivery of data directly to customers and systems across the organisation.

Key Responsibilities: 

• Contributing to the development and maintenance of data pipelines using Python, PySpark, and Databricks
• Supporting the delivery of enriched datasets to customers via Databricks, RESTful APIs, and event-driven delivery mechanisms (e.g., Kafka or similar)
• Assisting in data ingestion, transformation, and enrichment across the medallion architecture (bronze → silver → gold)
• Collaborating with cross-functional teams, including engineers, data analysts, and product managers
• Participating in code reviews, unit testing, and documentation to ensure high code quality and maintainability
• Troubleshooting and debugging data issues across development and production environments
• Following and contributing to internal best practices around data engineering and software development
• Continuously developing technical skills and understanding of the business domain

Requirements:

• Hands-on experience in a software/data engineering role.
• Proficiency in Python and working knowledge of PySpark or similar distributed data frameworks.
• Familiarity with Databricks or a strong interest in learning and working with the platform.
• Understanding of data delivery patterns, including REST APIs and event-driven architectures.
• Experience with SQL and structured data manipulation.
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving mindset and willingness to learn from feedback.
• Good communication skills and ability to work in a team setting.

Nice to Have:

• Exposure to cloud platforms like AWS, Azure, or GCP.
• Experience working with large-scale or open datasets.
• Familiarity with medallion architecture or similar data lake patterns.
• Understanding of data quality principles and CI/CD pipelines for data workflows.

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About the Role

• As a Senior Software Engineer, you'll perform complex research, and software development assignments, and provide direct input into project plans. This position is performed by an experienced professional and will undertake difficult research, design and software development assignments within a software functional area or product line, and provides direct input to project plans, schedules and methodology in the development of cross-functional software products under the guidance of more senior members of the squad. This position performs software design - typically across multiple components; is developing the skills of mentoring more junior members of the team and works with others to talk to users/customers and translates their requests into solutions.

Responsibilities

• Interfacing with other technical personnel or team members to finalize requirements.
• Writing and review detailed specifications for the development of complex system components.
• Completing complex bug fixes.
• Working closely with other development team members to understand complex product requirements and translate them into software designs.
• Implementing development processes, coding best practices, and code reviews.
• Operating in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
• Training entry-level software engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles.

Requirements

• Have a bachelor's degree in engineering / Computer Science or equivalent
• Possess extensive Software Engineering experience
• Have advanced knowledge of software development methodologies (e.g., Agile, Waterfall)
• Demonstrate a proficiency with data manipulation language including optimization techniques
• Have experience of normalized/dimensional data modeling principles and data storage subsystems
• Have experience in development languages, such as: Java/J2EE, JSP, XML, SQL
• Possess the ability to write and review portions of detailed specifications for the development of complex system components
• Have experience in AWS, Kubernetes, Lucene, Solr or Elasticsearch is highly desirable

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About the Role

• As a Junior Software Engineer, you will work under the guidance of experienced team members on various research, design, and software development assignments. You will collaborate on defining project requirements, contribute to design discussions, and work in a team-focused environment to help build user-friendly and efficient software solutions. This role is designed to help you grow your technical skills and learn agile development practices in a supportive setting.

Responsibilities

Collaborate with Team Members

• Work closely with more experienced engineers and other technical personnel to understand and contribute to product requirements.

Participate in Development Tasks

• Assist in writing code, reviewing detailed specifications, and developing portions of system components while following best practices.

Support Software Testing and Debugging

• Help troubleshoot and resolve bugs, ensuring that software components are reliable and meet quality standards.

Contribute to a Scrum-Based Environment

• Engage in stand-ups, sprint planning, and retrospectives, learning agile methodologies and contributing to the team’s progress.

Learn and Grow

• Absorb feedback from senior colleagues, continuously improve your technical abilities, and gradually take on increasing responsibility with the support of your team.

Requirements

Educational Background

• A BSc degree in Engineering, Computer Science, or related field; relevant internships or equivalent experience is welcome.

Programming Skills

• Basic to intermediate knowledge in C#, SQL, and .Net Core technologies. Familiarity with modern web technologies such as React or Angular, JavaScript, CSS, HTML.

Cloud Exposure

• An interest in cloud platforms such as AWS or similar, with a desire to learn about cost-effective and scalable serverless architectures.

Development Methodologies

• Familiarity with Agile methodologies and an enthusiasm to expand your knowledge of modern software development practices.

Problem-Solving Approach

• Ability to learn through debugging, ask questions, and work collaboratively in a technical environment.

Communication

• Ability to effectively communicate with team members, ask for help when needed, and contribute ideas that support collective problem solving.

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About the Role    

• At LexisNexis Intellectual Property (LNIP), our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. We help innovators make more informed decisions, be more productive, and ultimately achieve superior results. By helping our customers achieve their goals, we support the development of new technologies and processes that ultimately advance humanity. 
• As a Data Engineer at LexisNexis Intellectual Property (LNIP), you will be designing, building, and maintaining complex data systems to support business needs. Utilizing your expertise, you’ll contribute to maintaining a Data Platform that serves our crucial and critical product. Your role will be critical in ensuring the integrity, security, and accessibility of business-critical data.  

Responsibilities  

• Be a hands-on Data Engineer working across our ecosystem of products and Data Platforms.  
• Interface with other technical personnel or team members to finalize requirements.  
• Developing and maintaining data infrastructure supporting real-time data processing in streaming architectures.  
• Implementing scalable data ingestion and ML pipelines, incorporating Data Lakehouse concepts for unified data management 
• Successfully implement development processes, coding best practices, and code reviews.  
• Designing APIs for diverse business units, ensuring efficient data lineage tracking 
• Utilizing DataOps principles to enhance system performance and reliability. 
• Automating system lifecycle management, ensuring robustness and scalability 
• Integrating advanced data engineering techniques and tools to streamline processes. 
• Resolve technical issues as necessary.  
• Keep abreast of new technology developments.  

Technical Skills  

Required 

• Experience in SQL Server, Data Lake (Azure/AWS). 
• Possess extensive modern Data Engineering experience. 
• Demonstrate in-depth knowledge of large-scale data platforms (Databricks, Snowflake) and cloud-native tools (Azure Synapse, RedShift). 
• Knowledge of software development methodologies including Scrum, Kanban, and Agile more broadly.  
• Experience of analytics technologies (Spark, Hadoop, Kafka). 
• Experience with test-driven development.  

Nice to have 

• Understanding of Elasticsearch, Solr, PostgreSQL, Databricks, Delta Share & Delta Lake.  
• Ability to work with complex Patent and Litigation data models.  
• Ability to work well with internal and external technology data resources, including DocDB, ESpacenet & USPTO.  
• Experience with Pandas & PySpark.   

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About the Role

• The Onboarding & Customer Success Manager ensures clients across the UAE and wider GCC gain maximum value from LexisNexis solutions. The role focuses on delivering a smooth onboarding experience, encouraging product adoption, strengthening client engagement, and supporting long-term satisfaction and retention. You will collaborate with law firms, corporate legal teams, and government entities to help them make full use of our legal technology platforms.

Responsibilities

• Lead the full onboarding journey for new clients to ensure a seamless implementation.
• Develop clear onboarding plans, including training sessions, product demonstrations, and tailored adoption strategies.
• Identify potential opportunities and share qualified leads with Account Management teams.
• Build strong, professional relationships with client stakeholders and users.
• Support ongoing product adoption through proactive engagement and value-focused conversations.
• Track account health, usage, and engagement to identify risks early and support retention.
• Work closely with Sales, Account Management, Product, and Support teams to deliver a cohesive customer experience.
• Share client insights to help guide product improvements and service enhancements.
• Support renewal preparation by helping clients understand the value delivered throughout the customer lifecycle.

Requirements

• Proficiency in English (Arabic language skills are welcomed but not required).
• Experience in Customer Success, Onboarding, Implementation, or Client Relationship Management.
• Familiarity with SaaS solutions, ideally within legal, compliance, or professional services.
• Proven ability to support product adoption, customer satisfaction, and retention.
• Strong presentation and training facilitation skills.
• Experience with CRM or customer success tools (e.g., Salesforce, Gainsight) is beneficial.
• Organized, proactive, and comfortable managing client relationships with autonomy.
   

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About the Role

• We are looking for a Scrum Master to enable high-performing, autonomous product engineering teams. This role sits within the Engineering organization and is embedded with one or two cross-functional squads.
• The Scrum Master is accountable for how teams work – facilitating effective Agile practices, improving flow and predictability, and fostering a culture of continuous improvement and psychological safety. As a servant-leader and delivery partner, the Scrum Master works closely with Engineering Managers, Product Managers, and Product Operations (including Technical Program Managers) to ensure portfolio priorities translate into realistic, sustainable execution at the team level.

Responsibilities

• Serve as Scrum Master for one or more Agile teams, ensuring effective adoption of Scrum and Agile practices (Scrum, Kanban, or Scrumban as appropriate).
• Own team-level delivery governance and predictability, ensuring clear goals, realistic planning, and transparent signals on scope, risks and progress.
• Facilitate Agile ceremonies including Sprint Planning, Daily Stand-Ups, Reviews, Retrospectives, and Backlog Refinement.
• Coach teams on Agile principles, self-organization, and continuous improvement.
• Use quantitative and qualitative insights to identify bottlenecks, risks, and improvement opportunities.
• Facilitate outcome-focused retrospectives and ensure follow-through on improvement actions.
• Own cross-team coordination for work involving supported teams, ensuring dependencies, sequencing, and risks are understood and managed collaboratively.
• Partner with Product Operations and TPMs by providing accurate team- and cluster-level plans, capacity, and risk signals.

Requirements

• Hands-on experience as a scrum Master or Agile delivery lead supporting software engineering teams.
• Strong understanding of Agile frameworks (Scrum, Kanban) and modern engineering practices.
• Proven facilitation and coaching skills; able to navigate conflict and drive clear outcomes.
• Comfort with delivery metrics and basis analytics; ability to translate data into decisions.
• Excellent written and verbal communication skills; able to adapt messaging for engineers, product leaders, and executives.
• Ability to influence without authority and build strong cross-functional partnerships.
• Familiarity with Agile tooling (e.g., Aha!, Azure DevOps).
• Background in software development, QA, or a related technical discipline.