Software Engineer Intern

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.

Responsibilities • Deliver small, well-defined tickets with support, flagging blockers early and asking for help when stuck • Write working, readable TypeScript and/ or C# .NET code, following established team patterns and coding standards with guidance • Write unit tests for your own changes, with guidance on what to cover • Participate constructively in code reviews, implementing or responding to feedback from peers • Follow established Git workflows: feature branches, clear commit messages, focused PRs • Be aware of secure coding basics (no hardcoded credentials, input validation, etc.) and apply them, including when raised in code review • Understand and work within existing SQL Server/PostgreSQL database schemas without making structural changes, and write straightforward queries against them • Be aware of how the platform is hosted and deployed on Azure and Kubernetes • Build an understanding of the insurance policy lifecycle (quote, take up, cancellation, renewal) over the course of the placement • Contribute to legacy code maintenance through small, supervised fixes while building familiarity with system architecture and business logic • Set up and work effectively in the local development environment, and become familiar with the Ignite codebase • Attend and contribute to sprint ceremonies, communicating progress and blockers clearly • Follow documented development processes and escalate when unclear • Actively seek feedback and act on it consistently, including through regular check-ins with your mentor and Tech Lead • Present or demo a piece of completed work to the team

Qualifications 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

About the company Our People, Our Culture For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture. Our Culture: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging. Awards & Recognition: See why Verisk is consistently recognized as a Great Place to Work™ around the world. Our Businesses: Learn about the diverse industries we serve — from insurance and energy to financial services and beyond. Life at Verisk: Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments. Careers at Verisk: Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture Let’s build something meaningful together! Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. At Verisk, we provide a competitive compensation package aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include a range of incentive opportunities designed based on market research and our internal grading structure. Our benefits portfolio varies by location; however, a typical package includes medical coverage, life insurance, pension plans, and paid time off in line with local labor laws. We also foster a work environment focused on well-being and career development. Additional perks may include wellness initiatives, fitness programs, and team-building activities. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice