Senior Data Scientist - Computer Vision

About the role

Endava is looking for a Senior Data Scientist specializing in Computer Vision and complex motion analysis to work on a sports performance solution. The role involves designing, developing and deploying advanced computer vision solutions that analyse and interpret complex movements from video, working closely with the client's team and owning technical solutions.

Key responsibilities

• Design, develop and deploy computer vision solutions to analyse and interpret complex movements from video.
• Work closely with the client's team, taking ownership of technical solutions and making informed technical decisions.
• Communicate effectively with both technical and non-technical stakeholders.

Required profile

• Hands-on experience developing and deploying computer vision systems to production.
• Ability to independently design technical solutions, evaluate approaches and make informed decisions, with strong problem-solving skills and technical ownership.
• Excellent written and verbal communication in English, able to explain technical decisions and collaborate with client teams.
• Nice to have: familiarity with biomechanics, human movement analysis or movement screening; experience in a Microsoft Azure environment; previous experience with Sports AI or sports performance analytics.

Required skills

• Object and people detection, motion analysis and temporal modeling across video sequences.
• 2D pose estimation or other advanced motion analysis techniques, and object tracking with modern methods.
• Training, fine-tuning and evaluating deep learning models; dataset curation, annotation workflows and model evaluation metrics.
• Handling video with complex or fast movements, including high frame rates, motion blur and occlusions.
• Custom pose estimation approaches, including adapting existing models, skeleton structures or keypoint definitions.
• Strong plus: 3D pose estimation or 2D-to-3D pose lifting, and synthetic data generation and rendering.

What we offer

• Competitive salary package, share plan and referral bonus.
• Career coaching, global career opportunities and internal development programmes.
• Learning through complex projects, rotations, tech communities, training, certifications and online learning platforms.
• Hybrid work and flexible working hours, plus an employee assistance programme.
• Wellbeing programme, global tech communities and inclusion and diversity programmes.