4 of 4 Data Science Jobs in Woking

development team, you will provide technical leadership on a range of projects, contribute to initiatives beyond your own team, and mentor less experienced team members. Role Dimensions The Software & Data Science department is responsible for the analysis, design, and delivery of bespoke software tools and methodologies that help improve our Formula 1 car's performance. This starts with … aerodynamicists submitting designs via the CFD Portal, through wind tunnel data acquisition, processing, and analysis, to simulation and car setup optimisation, to trackside operational decision-making tools such as race strategy. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focussed platforms and solutions. As a Senior … requirements, define specifications, and to architect robust, scalable, and testable software and system solutions. To work collaboratively with your team, the department, and stakeholders in line with the Software & Data Science Guiding Principles. To accurately estimate activity timescales and provide clear and regular progress reports. To raise awareness of and mitigate against potential technical risks. To confidently analyse More ❯

detail and good team-work skills. Graduate Software Engineers will have some of the following qualifications experience; M.Phil, MSc, MPhys, MRes, MA, BA, BSc in Software Engineering or Computer Science, or Electronic Engineering or physical sciences Knowledge of C, C++, Python, C#, Java, SQL- Full stack development Programming on Cross Platforms- Windows-Linux Embedded software/Firmware experience DSP … following skills and experiences are advantageous, but not essential: Experience in Linux, python and C++ Knowledge of electronics and physical interactions with software FPGA/VHDL-Verilog Signal processing, data science or AI knowledge Experience working alongside hardware engineers Data Science/Data Processing Computer Vision/AI Quantum Computing As part of the Software 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 ❯

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 ❯