Senior Data Scientist

We are looking for a Senior Data Scientist with strong experience in Sports Analytics Machine Learning Computer Vision Generative AI and MLOps. The candidate will lead the end-to-end development and productionisation of AI solutions for live sports including automated sports metadata generation key-event detection player performance insights contextual statistics and personalised recommendations.

• Lead the end-to-end development of AI/ML solutions using Python Machine Learning Computer Vision and Generative AI.
• Build models for sports event detection metadata generation player performance analysis and injury-risk insights.
• Work with high-volume sports event tracking spatial video and metadata datasets.
• Design and develop ML/DL models using PyTorch and/or TensorFlow.
• Take ML models from experimentation through production model serving and monitoring.
• Design and implement A/B testing experimentation frameworks metrics and dashboards.
• Establish and maintain robust MLOps practices including model tracking model registries drift detection automated retraining and CI/CD.
• Design scalable and low-latency AI systems for real-time or near-real-time sports applications.
• Work with streaming and real-time data processing systems for live sports use cases.
• Ensure models are developed with appropriate responsible AI fairness transparency and ethical principles.
• Lead technical design discussions and define the technical direction for AI/ML solutions.
• Mentor and guide Senior and Mid-Level Data Scientists.
• Collaborate with product engineering data and business teams to deliver production-ready solutions.
• Optimize AI systems for performance latency reliability scalability and cost.

• Strong Python expertise.
• Strong experience in Machine Learning / Deep Learning.
• Hands-on experience with PyTorch and/or TensorFlow.
• Strong Sports Analytics / Sports Data experience.
• Experience working with sports event tracking video spatial or high-volume sports datasets.
• Experience with Computer Vision.
• Experience with Generative AI.
• Strong MLOps experience.
• Experience with ML model deployment and productionisation.
• Experience with real-time or near-real-time data processing.
• Strong technical leadership and mentoring experience.

• ML CI/CD pipelines.
• Experiment tracking and model registries.
• Model monitoring and drift detection.
• Automated model retraining.
• Infrastructure as Code.
• Cloud-based AI/ML systems.
• Experience with scalable and low-latency architectures.

• Experience with streaming technologies such as Kafka or similar platforms.
• Experience with multimodal AI involving video numerical spatial and metadata data.
• Experience with recommendation/personalisation systems.
• Experience with A/B testing and experimentation.
• Knowledge of responsible and ethical AI practices.
• Experience working in high-scale production environments.

• Strong technical leadership and decision-making skills.
• Experience mentoring Data Scientists and ML Engineers.
• Excellent communication and stakeholder management skills.
• Ability to explain complex AI/ML concepts to technical and non-technical stakeholders.
• Strong problem-solving and analytical skills.
• Ability to work effectively in a fast-changing environment

Required Skills:

PythonMachine AI.