The Data Systems department are 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 over the year and have support from a mentor throughout this time with us. Our placement students will also have the opportunity to familiarize themselves with developing tools to improve the live operational activities and the post-event analysis & checks; design and develop GUI supporting live & replay operational tasks. Training for all tools and applications used at Formula One will be provided.
Main Duties and Responsibilities
- Deploy and configure software applications in preparation for live and simulated sessions.
- Operate and monitor software deployments during live and simulated sessions.
- Identify and resolve issues, including troubleshooting problems in real time.
- Report any issues, including the troubleshooting, and be responsible to find a proper solution.
- Validate acquired and published data and ensure service data quality.
- Facilitate department and company development, testing and simulation activities.
- Liaise with internal data clients.
- Engage in the continual assessment and review of systems and operations, making proposals for improvement.
- Liaise with management taking requirements and forming solutions.
- Conduct and attend peer review meetings, ensuring best practice is followed and that a strong work ethic is maintained.
- Contribute to planning, design, and implementation of projects using best-practice techniques and principles.
- Oversee, contribute and influence development projects.
About You
- Recently graduated with a BSc or MSc in Computer Science or similar
- Experience with the deployment and operation of complex software applications and systems.
- 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
- Good working knowledge of IT, Networking, communications, software systems etc.
- Relevant skills and experience in using computer vision, machine learning and data analysis toolsets
- Familiarity with C, Python and Matlab (proof is needed)
- An understanding of the software development process.
- Interest in data analytics methods and applications
- The ability to mentally process, interpret and visualize information from multiple sources in real time.
- The ability to problem solve and identify system and operational improvement.
- Ability to multitask and work to tight deadlines.
- Ability to analyse results and present concise data reports and visualisation with meaningful conclusions
- Ability to plan and organise priorities to respect departmental deadlines
- Competency in producing technical reports, specifications, and user documentation.
- Ability to work effectively and efficiently in a team as well as individually and unsupervised.
- Ability to communicate clearly and in a professional manner.
- Enthusiastic, confident, willing to learn, collaborative & energetic.
- Smart and professional with good interpersonal skills
- Positive approach to change
- Promotes a collaborative working environment
Division:
Technical