Year-Long Internship 2027 - Software Engineering Intern

This is a 12-month internship opportunity located in Verisk Manchester office starting in June 2027 Step Up from Academic Study A 12-month industrial placement for students between their second and final years of a computer science (or related) degree. The role focuses on learning the Ignite platform, contributing to team delivery, and building technical foundations under close guidance. The skills below describe what we expect an intern to be able to do by around the 6-month point of the placement, rather than being what’s required to apply. Your code will be used by real users, reviewed by colleagues and maintained after you write it. Unlike a university assignment, the work is part of a team's ongoing delivery. You are expected to own your tasks, communicate blockers proactively, and behave as a reliable member of the team. You will not always have the answers. Ask questions when something is unclear, and use the guidance you receive. We will look at how reliably you complete agreed tasks, how your skills develop, and how you respond to feedback and work with others. The Intern Program is not eligible for work visa sponsorship. If you will require work visa sponsorship after completing your degree, you do not meet the basic requirements of the Yea-Long intern role. Tech Stack You do not need experience of our specific stack; you will learn it on the job. You should already be able to program in at least one language, understand object-oriented programming, and have basic SQL and Git knowledge. Languages: TypeScript, C# .NET Frontend: Vue, Nuxt Databases: SQL Server, PostgreSQL Cloud & Infra: Azure, Kubernetes CI/CD: GitHub Actions Tooling: Linear, Git/GitHub, Copilot, Notion, Claude Stretch Skills Further development, not entry requirements Begin taking ownership of small tickets end-to-end without close supervision Contribute meaningfully to code reviews rather than just receiving feedback Understand how the database schema supports a feature, and begin writing more involved SQL queries Deepen understanding of the Customer Portal and/or Ignite platform architecture AI Literacy At this level, interns are expected to use AI-assisted development responsibly, with a working awareness of the wider AI tooling landscape: Use AI coding assistants (e.g. GitHub Copilot, Claude) day-to-day for code completion and boilerplate reduction Understand, and be able to explain, any code you submit, including AI generated code Be aware of what a coding harness is — a structured prompt or scaffolding that guides an AI to produce consistent, testable code Be aware of what AI agents are and how they differ from simple prompt/response interactions Be aware of the concept of skills as discrete , reusable AI capabilities Be aware of MCP (Model Context Protocol) as a way of giving AI agents access to tools and context Not expected to build or configure AI tooling, but curiosity and experimentation are encouraged