Computer Vision AI Data Scientist for eSports (KTP Associate)

The duties of the post will include:

• The design and delivery of a bespoke capability to process live streams of games and gamers to identify in-game events to support the collection of data and associated statistics
• Align live-captured data to improve the quality of prices (odds) for both in-play markets and future pre-match markets for future events
• To implement the capability for extremely low-latency AI calculations, able to react to the accumulation of statistics across the course of a game
• To make use of historical game data and video feeds to identify irregular play patterns
• Communicating the objectives and progress of a project effectively with key internal stakeholders
• Combining the usage of multiple coding languages by delivering a final product using the appropriate technology, such as Python, whilst working alongside colleagues familiar with Java and .NET
• To contribute to the development of in-house AI and data science capabilities within SIS TV in order to increase operational independence

These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances. Please refer to the Job Pack for the full requirements in the Person Specification relating to: qualifications and training, experience / knowledge, and skills and abilities.

Benefits

As a KTP Associate, the post will offer the following benefits:

• A personal development budget of £4,000 (exclusive of salary).
• Management training and mentoring by an Innovate UK KTP Adviser.
• An interesting and challenging role, with exposure to a variety of stakeholders.
• Full access to university resources to complete the project.
• World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office.

Please note, Sports Information Services Ltd operate on a hybrid working arrangement, with a minimum of 3 days in the office per working week.

The University of Essex in partnership with Sports Information Services Ltd offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop novel computer vision-based techniques for information capture and analysis of live-broadcasted eSports events.