Our Summer Internship Program gives students the opportunity to work alongside experienced professionals on meaningful projects that contribute to real products, data solutions, and business outcomes. Interns aren't here just to observe, you'll have the opportunity to build, analyze, problem-solve, collaborate, and make an impact.
We're looking for talented and curious students to join our Summer 2027 Technology Internship Program across three areas:
Software Engineering – Contribute to the full software development lifecycle by helping plan, design, develop, test, and deploy features and applications that support our healthcare technology solutions. Work alongside experienced engineers to write quality code, troubleshoot issues, and improve existing products and functionality. Gain hands-on experience using modern AI-assisted development tools, including Claude Code, to support coding, debugging, testing, documentation, and development workflows.
Data Engineering – Help build, maintain, and improve the data infrastructure that powers our products and analytics solutions. Work with large, complex datasets to support daily data operations, develop and optimize data ingestion pipelines, automate data processes, and monitor and troubleshoot data workflows to ensure reliable, high-quality data. Explore opportunities to use AI-assisted tools, including Claude Code, to accelerate development, automate workflows, and improve engineering efficiency.
Data Science – Apply statistics, machine learning, and AI to explore complex healthcare data and solve real-world business problems. Support data exploration, model development and evaluation, experimentation, and the communication of analytical findings. Work with emerging technologies, including generative AI, Large Language Models (LLMs), and AI-assisted development tools such as Claude Code, to explore new approaches to analytics and problem solving.
Interns will be aligned to a team and project based on their skills, interests, academic background, and business needs.
We're looking for students who are already experimenting with AI, not just learning about it in the classroom. Strong candidates will have hands-on experience using generative AI and AI-assisted development tools through coursework, personal projects, research, internships, hackathons, or other practical applications.
Experience may include tools and technologies such as Claude, Claude Code, LLMs, prompt engineering, AI-assisted coding, RAG, embeddings, vector search, AI agents, or other applied AI/ML technologies.
We're especially interested in students who can demonstrate how they've used AI to build something, solve a problem, automate a process, analyze data, or improve the way they work—and who are curious about continuing to experiment with emerging technology.
For candidates interested in the Data Science track, we're also looking for exposure to or interest in:
Join an engineering internship programme to gain hands-on experience in automotive engineering, collaborate with experienced engineers, and develop technical and professional skills with support from a dedicated tutor.
Support Strada’s Affiliates and Strategic Partnerships and Strategy and Innovation teams through functional projects, contributing to organizational goals while building experience across nonprofit operations and workforce development.
Coordinate PMO operations by maintaining project records, preparing reports, tracking deliverables and risks, and building lightweight automations that improve project workflows and decision-making.
Support the merchandising team by maintaining product and stock data, tracking purchase orders, monitoring inventory, and preparing reports to help keep products flowing and support sales.
Coordinate digital, social and multi-channel creative campaigns for the Wallpaper* Bespoke team, supporting project setup, timelines, budgets and stakeholder communication from brief through delivery.
