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degree, Master's degree or PhD in a quantitative field such as Mathematics, Physics, Machine Learning, Computer Science or a related discipline.\nApproximately 2-3 years of professional experience working with machine-learning models in production, ideally involving live forecasting or other real-time applications.\nStrong proficiency in Python.\nExperience with MongoDB, SQL and Shell scripting.\nA solid understanding of software architecture and production-quality development practices.\nExperience with Docker and familiarity with DevOps/MLOps environments, including CI/CD pipelines.\nStrong knowledge of machine-learning techniques, including supervised and unsupervised learning.\nPractical experience with time-series modelling and analysis.\nThe ability to analyse complex systems and identify direct and indirect relationships between multiple signals and datasets.\nStrong communication skills and the ability to explain quantitative results clearly to both technical and business 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