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 work 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 utilize data sources and combine the data to find relationships using state-of-the-art methods and lead the 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, 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 visualizations with meaningful conclusions. Interest in data analytics methods and applications. Ability to plan and organize 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 and promotes a collaborative working environment. Enthusiastic, confident, willing to learn, collaborative, and energetic. For more detail, salary, and company information, use the apply link.
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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 utilize data sources and combine the data to find relationships using state-of-the-art methods and lead the 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, 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 visualizations with meaningful conclusions. Interest in data analytics methods and applications. Ability to plan and organize 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 and promotes a collaborative working environment. Enthusiastic, confident, willing to learn, collaborative, and energetic. For more detail, salary, and company information, use the apply link.
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