Graduate Talent Scientist

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent. We lead an effective hiring ecosystem to deliver talent acquisition excellence. We leverage data to enable evidence-based decisions, weaving behavioural science through our selection process, working closely with our Hiring Leadership team who drive hiring at Canonical. We are looking for exceptional people to join our team at the entry level. You will possess a psychology based degree with an exceptional academic track record from high school. You will also bring some relevant experience from the field of talent, from either university coursework relating to talent selection or from an internship or first job in a talent team. In this role you will learn how to implement hiring strategies that result in high performance outcomes of our people and contribute to leading our talent agenda. The suitable candidate will bring an analytical mindset with a high level of curiosity to integrate data to draw i