Data Scientist & Delivery (BJ-13249)

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