Senior Data Scientist

This instantly recognised Global Brand is seeking a highly skilled and experienced Senior Data Scientist to face into the business and unlock the power of data to drive strategic decisions. This role has a strong emphasis on Azure Machine Learning (Azure ML) and MLOps best practices.

Key Responsibilities:
Understand business needs & value creation

• Collaborate with stakeholders to identify business challenges where AI/ML can drive measurable improvements.
• Define success metrics and ensure alignment with business objectives.

• Rapidly build and validate ML prototypes to demonstrate feasibility and value.
• Iterate based on feedback, refining models and methodologies for production readiness.

• Design, develop, and deploy end-to-end AI/ML models on Azure ML to solve complex commercial challenges.
• Own the entire ML lifecycle, including data preprocessing, feature engineering, model selection, hyperparameter tuning, model validation, deployment, and monitoring.
• Optimise feature extraction techniques, implement robust model evaluation strategies, and ensure effective inference for real-time and batch scoring using Azure ML Endpoints.
• Develop efficient and reusable ML workflows and pipelines, ensuring automated feature engineering, model retraining, and performance tracking across multiple projects.
• Implement and enhance MLOps strategies, integrating CI/CD, automated monitoring, drift detection, and model retraining mechanisms to maintain model integrity over time.
• Collaborate with data engineers and software engineers to integrate feature stores, scalable data processing pipelines, and model-serving frameworks into production applications, ensuring seamless deployment and reliability.