Top Tech Jobs & Startup Jobs in London

Lead finance business partnering for Editorial Operations, driving planning, budgeting, forecasting, performance reporting, scenario modelling, and AI-enabled transformation to improve productivity and inform strategic investments across a $100M+ global cost base.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

Lead and deliver a market-leading international tax news product by curating and verifying global tax updates, producing practitioner briefings, commissioning and editing contributor content, maintaining editorial standards, building contributor networks, owning product strategy and metrics, and leveraging AI and publishing technology to improve sourcing and production.

Designs and deploys supervised machine learning classifiers using curated patent data, conducts desk research on technologies, scopes and defines client classifier taxonomies, supports customer meetings and data review, and delivers ad-hoc analysis and presentations as projects progress.

Design, develop, and maintain components of the LNIP intelligence core platform, including a semantic search API and internal data curation tool. Implement secure coding standards, unit testing, code reviews, and cloud deployments. Use agentic development tools responsibly and work with complex data models, vector embeddings, SQL and PySpark to support intelligent software systems.

Lead and coordinate multiple portfolio-level software projects across product, engineering, and business stakeholders. Plan, track, and report on schedules and roadmaps, manage risks and resources, ensure regulatory and corporate compliance, and drive process improvements to enhance delivery effectiveness.

Analyze, validate, and troubleshoot financial and operational data to produce decision-grade insights. Build and maintain budgeting, forecasting, and financial models; develop dashboards and reports; perform variance and root-cause analysis; partner with finance and operational stakeholders to improve data quality, reporting, and automation.