The Data Systems department is looking to place a dynamic and creative individual who can make a strong contribution to our team and systems. In return for a fresh, alternative and innovative approach to our designs, the successful applicant will experience a fast-paced stimulating technical environment.
You will also experience working on existing products and systems. The candidate will be given a range of projects and have support from a mentor throughout the induction period. Training for all tools and applications used at Formula One will be provided.
Main Duties and Responsibilities
Contribute within a small F1 data team by developing the understanding and analysis capabilities on historical and current car data together with race event data. The goal is to identify performance, audience and competitive relationships that can be used in determining new technical contents and graphics to improve suspense, anticipation and excitement. Research and develop detailed analysis techniques to utilise the data sources and combine the data to find relationships using state of the art methods and lead deployment of future analytic methods. For example: applying computer vision and machine learning techniques to detect, identify and emphasize technical details and performance trackers. Analyse, report and present vehicle performance results (and other group work results) for both internal and external review, including regular post-race event reports. Liaison with internal and external groups that possess the data repositories of interest and foster relationships with all appropriate stakeholders. When circumstances require it: being able to create and maintain a positive relationship with the FIA and all F1 teams in any written or verbal communications. Work with F1 technical suppliers to develop methodologies and create aligned analysis for content generation. About You
Degree (or equivalent) in Engineering (with a high mathematical content), Computing / Computer Science, Mathematics (with high data and statistical analysis content) and/or Physics/STEM Ability to demonstrate practical applications and utilization of data analytic work / mathematical and/or statistical reduction on datasets Development of bespoke data analytical and visualization tools Excellent knowledge and skills in machine learning and computer vision Ability to analyse results and present concise data reports and visualisation with meaningful conclusions Interest in data analytics methods and applications Ability to plan and organise priorities to respect departmental deadlines Good written and verbal communication skills Familiarity with C, Python and Matlab (proof is needed) Relevant skills and experience in using computer vision, machine learning and data analysis toolsets Smart and professional with good interpersonal skills Ability to work in a team and unsupervised Positive approach to change Promotes a collaborative working environment Enthusiastic, confident, willing to learn, collaborative & energetic. Division: Technical
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Contribute within a small F1 data team by developing the understanding and analysis capabilities on historical and current car data together with race event data. The goal is to identify performance, audience and competitive relationships that can be used in determining new technical contents and graphics to improve suspense, anticipation and excitement. Research and develop detailed analysis techniques to utilise the data sources and combine the data to find relationships using state of the art methods and lead deployment of future analytic methods. For example: applying computer vision and machine learning techniques to detect, identify and emphasize technical details and performance trackers. Analyse, report and present vehicle performance results (and other group work results) for both internal and external review, including regular post-race event reports. Liaison with internal and external groups that possess the data repositories of interest and foster relationships with all appropriate stakeholders. When circumstances require it: being able to create and maintain a positive relationship with the FIA and all F1 teams in any written or verbal communications. Work with F1 technical suppliers to develop methodologies and create aligned analysis for content generation. About You
Degree (or equivalent) in Engineering (with a high mathematical content), Computing / Computer Science, Mathematics (with high data and statistical analysis content) and/or Physics/STEM Ability to demonstrate practical applications and utilization of data analytic work / mathematical and/or statistical reduction on datasets Development of bespoke data analytical and visualization tools Excellent knowledge and skills in machine learning and computer vision Ability to analyse results and present concise data reports and visualisation with meaningful conclusions Interest in data analytics methods and applications Ability to plan and organise priorities to respect departmental deadlines Good written and verbal communication skills Familiarity with C, Python and Matlab (proof is needed) Relevant skills and experience in using computer vision, machine learning and data analysis toolsets Smart and professional with good interpersonal skills Ability to work in a team and unsupervised Positive approach to change Promotes a collaborative working environment Enthusiastic, confident, willing to learn, collaborative & energetic. Division: Technical
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