Dabster

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist on a contract basis in Osterley, UK, offering a competitive pay rate. Requires strong expertise in sports datasets, advanced Python skills, and experience in real-time system design and MLOps.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
April 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Osterley
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🧠 - Skills detailed
#Deployment #Data Processing #Metadata #AI (Artificial Intelligence) #Cloud #Data Science #TensorFlow #Datasets #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Monitoring #Python #Scala #Leadership #Statistics #PyTorch #A/B Testing
Role description
Hiring: Lead Data Scientist (Contract) – Osterley, UK Are you passionate about transforming sports data into intelligent, real-time insights? We’re looking for a Lead Data Scientist to drive cutting-edge AI innovation in one of the most exciting domains—live sports analytics. Location: Osterley, UK Type: Contract Experience: Lead / Senior Level What You’ll Do • Lead end-to-end development of AI solutions leveraging Computer Vision, Machine Learning, Generative AI, and advanced data science. • Build systems that automatically generate sports metadata and detect key moments in live matches and streams. • Design models that deliver player performance insights, contextual statistics, and injury risk predictions—all grounded in ethical and responsible AI. • Power personalisation engines with model-driven insights tailored to fans’ favourite teams, players, and match context. • Own A/B testing, experimentation frameworks, metrics, and dashboards to drive data-backed decisions. • Establish and scale MLOps practices including CI/CD, model monitoring, drift detection, and automated retraining. • Architect and deploy low-latency, cloud-based AI systems built for real-time sports environments at scale. What You Bring • Proven experience leading sports data-driven ML systems, with strong ownership of technical direction and delivery. • Deep expertise in sports datasets (event data, tracking data, or similar high-volume streams). • Strong command of multi-modal data (numerical, spatial, video, metadata) and Generative AI techniques. • Advanced Python skills with hands-on experience in PyTorch, TensorFlow, or similar frameworks. • Solid experience in end-to-end MLOps, including production deployment and lifecycle management. • Demonstrated leadership—mentoring teams and thriving in fast-paced, evolving environments. • Experience designing scalable, real-time or near real-time systems for live data processing. • Excellent communication skills—able to translate complex AI strategies into business impact. Why Join? • Work at the forefront of AI + Sports innovation • Build solutions used in live, high-impact environments • Collaborate with cross-functional teams and senior stakeholders • Shape the future of fan engagement and sports intelligence Ready to make an impact in the world of sports and AI? Apply now or reach out to learn more!