Top Tech Jobs & Startup Jobs in London

Assist the EMEA Tax team with direct tax compliance, US GAAP reporting, M&A, transfer pricing, and provide tax advice while managing relationships with stakeholders.

The Data Science Manager will collaborate with business partners, oversee predictive model building, manage a team, and deliver analytical insights to drive business decisions.

The role involves managing product backlogs, coaching teams, prioritizing work based on product strategy, and facilitating sprint planning. Responsible for user story refinement and metrics analysis to ensure delivery quality.

The Senior Product Owner manages product backlogs, facilitates collaboration, prioritizes user stories, coaches teams, and ensures quality and strategic alignment across Agile practices.

The Change & Process Lead will develop and execute change management strategies, partner with stakeholders, conduct assessments, and lead training initiatives to drive successful change adoption and capability development.

Lead regional underwriting teams to ensure compliance, manage complex cases and portfolios, drive audit completion, produce performance reporting, mentor underwriters, engage brokers, and support process improvements and strategic initiatives to meet regional business objectives.

Lead and develop a team of underwriters to deliver profitable branch growth. Responsibilities include people management, trading and broker engagement, operational oversight, underwriting governance, compliance, and driving business performance and pipeline conversion.

Lead end-to-end ownership of the data estate and delivery of large data transformation programmes. Manage stakeholders, vendors, budgets, SDLC, data platform architecture, compliance, and a cross-functional team to deliver Snowflake and relational database solutions aligned to business strategy, especially for insurance.

Own the end-to-end data quality issue lifecycle, lead offshore analysts, liaise with UK stakeholders, partner with IT/Operations for fixes, drive preventive data quality improvements, and produce governance-ready reporting and dashboards.

Assist in implementing data governance frameworks and policies, ensuring data accuracy, creating data dictionaries, and contributing to data governance training and materials.