Senior Data Scientist - Computer Vision

• Hands-on experience developing and deploying computer vision systems to production.
• Strong Computer Vision expertise in: • Object and people detection.
• Motion analysis and understanding of complex movement patterns.
• 2D pose estimation or other advanced motion analysis techniques.
• Object tracking using modern computer vision methods.
• 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 challenges such as 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 the ability to work with minimal supervision.
• Excellent written and verbal communication skills in English, with the ability to explain technical decisions, discuss trade-offs, and collaborate directly with client teams.

Strong Plus:

• Experience with 3D pose estimation or 2D-to-3D pose lifting from video.
• Experience generating and rendering synthetic data for model training.

Nice to Have

• 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.

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance : Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community : Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we're committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives - because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.