Jobs at RELX

Designs, operates, and improves secure, highly available Azure platforms supporting large-scale production environments. Leads reliability initiatives, defines SLOs and error budgets, performs root cause analysis, and develops resilient architectures. Builds Terraform infrastructure and automation, manages AKS and GitOps practices, develops observability strategies, and supports CI/CD pipelines. Provides technical leadership, mentors engineers, and participates in on-call rotations and major incident management.

Designs, operates, and improves highly available AWS database platforms supporting critical applications. Responsibilities include database monitoring, performance optimization, failover and disaster recovery testing, infrastructure automation, observability, incident response, root cause analysis, and production recovery. The role participates in on-call rotations, reduces operational toil through scripting and Infrastructure as Code, improves reliability and security, and mentors junior engineers.

Principal Data Scientist leading advanced data science, machine learning, Generative AI, predictive modeling, and cloud migration initiatives for insurance products. Responsibilities include building production data pipelines and ML workflows, developing predictive models, deploying data products, supporting Azure and Databricks infrastructure, ensuring model governance, and collaborating with product, technology, and data engineering teams. The role also requires technical leadership, stakeholder communication, mentoring, innovation, and translating complex analytical results into business value.

Develop and onboard strategic partners, build partnership pipelines, generate new business opportunities, and support partner-led revenue growth. The role involves stakeholder relationship management, partner enablement, forecasting, reporting, industry events, and collaboration across internal teams. Success is measured by new partner acquisition, pipeline creation, revenue generation, onboarding, engagement, and achievement of business objectives.

Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.