Top Tech Jobs & Startup Jobs in London

Design, develop, configure and maintain Earnix-based pricing and decisioning solutions for P&C insurance. Integrate Earnix with enterprise systems, build data ingestion and model deployment pipelines, support testing, production reliability, troubleshooting, and documentation while collaborating with actuarial, data, and IT teams.

Design, develop, and support enterprise-grade applications using .NET/.NET Core and Python; define application and data architectures (relational, NoSQL, data lakes, streaming); advise on on‑prem and cloud infrastructure (VMs, containers, Kubernetes/AKS, Azure); drive SDLC/DevOps practices and CI/CD; troubleshoot cross-layer issues; collaborate with stakeholders to deliver resilient, secure, and scalable insurance-focused solutions.

Manage end-to-end recruitment for UK & Ireland: develop sourcing strategies, screen and assess candidates, maintain ATS, manage agency relationships, report on hiring metrics, support onboarding, and promote diversity and candidate experience.

Lead design, implementation and optimisation of Earnix pricing solutions for P&C insurance. Provide technical leadership on architecture, model deployment, integrations, data ingestion, monitoring, testing, and production support. Collaborate with actuarial, underwriting, data, and IT teams to ensure scalable, reliable pricing and decisioning systems and contribute to governance and documentation.

Conduct market and competitor research, analyse findings, create professional PowerPoint presentations, support RFPs and client documents, research AI and emerging technologies, use AI tools for research, and collaborate across teams on ad hoc reporting to support business growth.

Lead migration of SAS-based analytical EUCs to GCP by analysing business and risk logic, assessing GCP data landscape, defining data requirements and source-to-target mappings, producing engineering-ready specs, enabling engineering teams, and promoting reusable Consumer Data Products across use cases within an agile migration factory.

Lead design and governance of enterprise conceptual, logical, and physical data models for analytics, BI, data warehouses and operational systems. Define standards, metadata, lineage, and master/reference data models; architect cloud data platforms; collaborate with stakeholders, mentor teams, and optimize performance and data quality.

Design, develop and maintain conceptual, logical and physical enterprise data models. Translate business requirements into scalable data solutions, define source-to-target mappings, support relational and NoSQL implementations, optimise performance, drive data modelling standards, perform reverse engineering, and advise stakeholders on data architecture, governance and integration throughout project lifecycles.

Lead and deliver large-scale finance transformation programmes as a trusted advisor to CFOs. Design target operating models, drive process excellence, ERP modernisation, digital finance, automation and AI enablement, establish programme governance and benefits realization, support business development, and mentor consulting teams to deliver measurable value.

Entry-level role for recent graduates to research and support Data & AI innovation. Responsibilities include trend research, using GenAI tools (e.g., Claude), developing client-facing presentations, collaborating with senior experts, and contributing to new Data and AI offerings.