Top Tech Jobs & Startup Jobs in London

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.

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.

Analyse digital marketing performance and customer journeys to improve acquisition, engagement and conversion. Support A/B and multivariate testing, build dashboards and KPIs, integrate multi-source data, produce analytical readouts, present findings to stakeholders, and collaborate with digital, product and analytics teams to drive data-led decisions.

Lead client-facing analytics engagements for insurance clients: drive business development, manage accounts, oversee delivery of analytics use cases (claims, underwriting, marketing, actuarial), collaborate with technical teams on cloud and data solutions, build relationships with senior client stakeholders, and represent the firm in industry thought leadership.

Lead and scale an ecosystem-led revenue engine for EXL Data, Analytics & AI. Build hyperscaler and data-platform partnerships (MAG, Databricks, Snowflake), drive co-sell, joint solutions, marketplace monetization, industry-specific offerings, and embed partner-led GTM across sales, solutions, and marketing to accelerate large data and AI transformation deals.

Support design, placement and administration of ceded reinsurance programmes. Analyse large datasets to inform portfolio optimisation, renewals and risk management. Prepare submission packs, renewal documentation and management information, maintain reinsurance data/systems, liaise with brokers, underwriters and cross-functional teams, and support process improvement and automation initiatives.

Serve as a Technical Business Analyst in insurance, gathering and documenting requirements, defining API contracts, writing and optimising SQL queries, supporting API testing, and managing requirements in Jira and Confluence. Work closely with stakeholders and cross-functional teams to translate insurance-specific needs into scalable data and system solutions within an Agile delivery environment.

Lead client-facing data and analytics initiatives for specialty insurance (MGAs). Act as onshore client contact, manage offshore delivery teams, design and deliver datasets, dashboards, Power BI reports, Power Apps workflows, and oversee bordereaux production and data governance to support underwriting and performance monitoring.

Lead and optimise underwriting support teams across Company Market and Lloyd's Syndicate platforms. Ensure efficient risk setup, data quality, compliance with Lloyd's standards, and continuous improvement of submission intake, policy administration, bordereaux handling, and issuance workflows. Manage and mentor teams, coordinate with underwriters, support capacity planning, and oversee audit-readiness and governance.

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.