Senior Data Scientist

Senior Data Scientist - Human Motion Tracking & Pose Analysis

Location:London, UK - Hybrid, 2-3 days a week onsite

Type:Full-time

Perm:They are not able to offer sponsorship at this stage

About the Company

Join a pioneering, venture-backed startup revolutionising the health industry through cutting-edge AI and computer vision technologies. With a stellar founding team and a successful first financial year, the company has gained notable exposure and acclaim in major media and industry showcases and are looking for an exceptionalSenior Data Scientist to join their team.

About the Role

My client are searching for a Senior Data Scientist to take the lead on their advanced motion tracking and pose analysis technology. Youll work closely with engineering and product leaders to enhance our tracking software that captures and interprets human motion, creating an unprecedented level of interactive feedback.

Key Responsibilities

• As theSenior Data Scientistyou will lead development and refinement of our real-time human pose estimation and motion tracking algorithms.
• Use libraries such as MediaPipe and MoveNet to extract and analyse human motion coordinates, ensuring accuracy and adaptability.
• Collaborate with product teams to understand and address user needs, refining algorithms to deliver high-precision metrics like form quality, rep count, and rep speed.
• Conduct advanced statistical analysis to reduce errors and enhance data reliability, especially in scenarios involving complex occlusions.
• Partner with QA and support teams to troubleshoot, test, and refine new features before release.
• Potential to lead a growing data science team as the company scales.

Requirements

• Proven experience in data science within fast-growing environments, ideally with a focus on real-time motion tracking or computer vision.
• Proficiency in implementing pose estimation and tracking with tools like MediaPipe, MoveNet, or similar.
• Experience in feature extraction from time-series data, specifically for motion capture or tracking.
• Solid foundation in linear algebra, geometry, and probability, as well as algorithmic problem-solving for live data.
• Excellent communication skills for effective cross-functional collaboration.
• Familiarity with Agile/Scrum methodologies.

Nice to Have

• Background in fitness or biomechanics is a plus.
• Experience with coding languages such as Kotlin or Java.
• Passion for fitness technology and innovation in health.

What We Offer

• Competitive salary and stock options in a high-growth startup.
• Flexible work arrangements, including remote work options.
• Generous time-off policies and wellbeing support.
• Access to cutting-edge tools and a professional development budget.
• Collaborative work culture with opportunities to learn from industry-leading experts.