Senior Data Scientist – Computer Vision

• Design, develop, and deploy advanced computer vision solutions to analyze and interpret complex movements from video
• Work on a world-class sports performance solution
• Work closely with the client's team
• Take ownership of technical solutions
• Make informed technical decisions
• Communicate technical decisions and trade-offs effectively with technical and non-technical stakeholders
• Collaborate directly with client teams

• Hands-on experience developing and deploying computer vision systems to production
• Strong Computer Vision expertise in object and people detection
• Experience with motion analysis and understanding of complex movement patterns
• Experience with 2D pose estimation or other advanced motion analysis techniques
• Experience with object tracking using modern computer vision methods
• Experience with temporal modeling across video sequences
• Proficiency in Python and PyTorch
• Experience training, fine-tuning, and evaluating deep learning models
• Comfortable with dataset curation, annotation workflows, and model evaluation metrics
• Experience working with video involving complex or fast movements, including high frame rates, motion blur, and occlusions
• Experience with custom pose estimation approaches, including developing or adapting existing models, skeleton structures, or keypoint definitions
• Ability to independently design technical solutions, evaluate different approaches, and make informed technical decisions
• Strong problem-solving skills, technical ownership, and ability to work with minimal supervision
• Excellent written and verbal communication skills in English
• Experience with 3D pose estimation or 2D-to-3D pose lifting from video
• Experience generating and rendering synthetic data for model training
• Familiarity with biomechanics, human movement analysis, or movement screening
• Experience working in a Microsoft Azure environment
• Previous experience with Sports AI or sports performance analytics

• Competitive salary package
• Share plan
• Referral bonus
• Career coaching
• Global career opportunities
• Non-linear career paths
• Internal development programmes for management and technical leadership
• Complex projects
• Rotations
• Internal tech communities
• Training
• Certifications
• Coaching
• Online learning platforms subscriptions
• Pass-it-on sessions
• Workshops
• Conferences
• Hybrid work
• Flexible working hours
• Employee assistance programme
• Global internal wellbeing programme
• Access to wellbeing apps
• Global internal tech communities
• Hobby clubs and interest groups
• Inclusion and diversity programmes
• Events and celebrations