McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
As a part of our Modelling and Decision Sciences function, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships.
The Modelling and Decision Sciences has three core capabilities:
We are looking for an experienced data scientist to lead our capability in statistical machine learning. Your technical expertise will help us design, develop, test, deploy and present analytical solutions to complex industrial problems. Specifically, you will tackle problems in which:
You will also be collaborating with our software engineers to productise our solutions, and identifying opportunities to harvest capability into our core platforms. You will lead on improving quality and processes through team activities such as project estimation, code reviews and retrospectives.
The work environment
You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required.
McLaren’s Product Innovation Framework
Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.