Top Tech Jobs & Startup Jobs

Plans, designs, executes, and reports software testing for squad and project changes. Responsibilities include defining acceptance criteria, functional and regression testing, defect management, maintaining test evidence, assessing quality risks, supporting releases, participating in Agile ceremonies, and contributing to testing standards and continuous improvement. The role also involves developing expertise in testing tools, techniques, automation, business processes, and quality engineering.

Develops end-to-end data solutions, including exploratory analysis, experimentation, predictive and prescriptive modeling, machine learning, and generative AI applications. Partners with business, product, and technical teams to solve complex insurance challenges, communicate insights, and support data-driven decisions. The role also involves validating AI-assisted work, applying statistical methods, and following engineering practices such as version control, testing, code review, and reproducible development.

Sell business insurance to SME customers through inbound calls, outbound callbacks, email, and webchat. Understand customer needs, recommend suitable products, identify cross-sell and upsell opportunities, resolve queries, and meet sales, quality, and satisfaction targets. Build expertise in insurance products and internal systems through nine weeks of training while collaborating with contact-center teams.

Sell commercial insurance to SME customers through inbound calls, outbound callbacks, email, and webchat. Identify customer needs, recommend suitable products, cross-sell and up-sell, resolve queries, meet individual targets, and balance sales performance with service quality. The role includes comprehensive product and systems training, teamwork, and performance reviews. After becoming fully trained, employees may work from home up to two days weekly.

Develop and maintain enterprise data warehouse and ETL/ELT solutions across GCP and on-premise SQL Server platforms. Translate business requirements into scalable, end-to-end data solutions, applying data modeling and warehouse best practices. Support code and configuration management, CI/CD pipelines, Agile delivery, and automated deployments. Collaborate with stakeholders, contribute to architecture decisions, and potentially mentor junior team members.

Owns product vision, strategy, roadmap, and backlog for a designated value stream. Translates customer and stakeholder needs into prioritized initiatives, user stories, and acceptance criteria; collaborates with business and technical teams to deliver measurable value. Manages priorities, incidents, dependencies, customer feedback, and product performance while promoting agile practices, continuous improvement, and stakeholder alignment. Also supports coaching and development of team members.

Develop and deliver marketing and communications activity across digital, print, email, social media, website, internal communications, media relations, and events. Manage the Hiscox London Market website, email campaigns, reporting, stakeholder relationships, supplier coordination, brand consistency, and Broker Academy programmes. Create engaging content and marketing materials, support integrated campaigns, manage budgets, and help business leaders and underwriters achieve measurable marketing objectives.

Design, develop, support, and continuously improve Dynamics 365 and Power Platform solutions. Translate business requirements into scalable architectures, lead technical delivery, review solutions, mentor colleagues, troubleshoot complex issues, and manage platform health, security, releases, and lifecycle activities. Contribute to source control, CI/CD, DevOps, governance, integration, automation, technical standards, and roadmap planning while collaborating with business and technical stakeholders.

Own the roadmap, backlog, and outcomes for foundational data platforms, curated data layers, and BAU feeds. Partner with engineering, architecture, delivery, and business stakeholders to define requirements, prioritize changes, evolve data models, investigate quality issues with SQL, manage incidents, and maintain governance, reliability, and service levels. Drive AI and automation adoption across data product workflows while balancing modernization, technical debt reduction, and steady-state operations.

Own the vision, roadmap, backlog, and outcomes for data products delivered by data science, AI engineering, and intelligent automation teams. Translate business problems into AI and automation initiatives, prioritize investments, evaluate emerging technologies, and lead pilots through production. Partner with stakeholders and agile delivery teams, validate data and model performance using SQL, ensure responsible governance and scalability, and communicate outcomes to technical and executive audiences.