The Automotive Industry is changing more rapidly than ever and it is an exciting time to join a Company like Toyota UK, where there is a unique opportunity to join the Quality Assurance Division, embracing Continuous Improvement and Kaizen.
This role is aligned with a wide variety of Quality Assurance projects, where you will have a variety of responsibilities including the opportunity to:
Development is everything at Toyota. At its heart is the Japanese concept of kaizen - a belief that no process can ever be declared perfect; that there's always a better way. It's an intrinsic part of the way we work - the unique management philosophy that's made us an automotive leader. You can see it in our world-leading processes, our innovative products and, of course, in the way we develop our people. We place great emphasis on learning by doing - usually through structured, on-the-job training. As our founder Sakichi Toyoda put it: "Inspiration comes from many places. We need to have our eyes, our minds and our hearts open to things we interact with every day, so open your window to the world." You can see that commitment reflected in cars like the all new Corolla. It's what makes Toyota a great place for inquisitive graduates to sharpen their skills.
All graduates will take part in six weeks of line training. This will mean that for those six weeks you will work on an area where we build the cars down on the shop floor. Although tough, this experience is extremely rewarding and interesting and gives you a real hands-on insight into what Toyota Manufacturing is all about. We believe this experience is crucial for your personal development and rather unique to our company.
We're looking for individuals who will share our values and believe that there's always a better way. We’re also looking for strong communication and project management skills. Ideally successful candidates should have competency in using Microsoft Office applications, knowledge and use of other Microsoft software (e.g. Power BI, Power Apps and Power Automate), in addition to some coding skills (such as Python or making SQL queries). Candidates should also have a consistently strong academic record, with a minimum 2:1 predicted degree result (ideally BEng/MEng or computer science degree). Additional Studies in ‘Data Science’ would also be advantageous but not essential (i.e. modules/masters).
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