2 of 2 Permanent Data Science Jobs in Woking

s about more than winning. It's about hitting the highest standards, and then raising the bar again Purpose of the Role: F1 operates at the cutting edge of data analysis, where accessing, viewing, and interpreting complex datasets is a routine part of daily operations. We are searching for an inquisitive, self-starting individual to help maintain, develop, and … progress the capabilities of the Aero Performance team through the continuous improvement of data science and visualisation tools and techniques used within the group. Aero Performance is a multi-functional team at the core of our performance-led organisation. Our mission is to transparently and confidently provide the most accurate and clear information, in a timely manner, to … lead decision-making for development, performance, and operational teams. We aim to maximise championship points from each event and future projects by integrating data analysis collection, mining, and visualisation, with aerodynamic interpretation and all aspects of driver and vehicle performance. This role will contribute to the development of data technology to elevate our capabilities in data acquisition More ❯

track and manage issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions: The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and … delivery of software tools and methodologies which improve the team and car's performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API's, and … which may include limited on-call to resolve mission critical issues. Support the prioritisation and resource requirements of projects across Engineering. Knowledge, Skills and Experience: Essential Bsc in Computer Science or equivalent discipline (2:1 or above) or equivalent industry experience. Extensive commercial experience delivering projects using agile/lean methodologies. A strong full stack software development background with More ❯