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Responsibilities

• Data Strategy Execution: Contribute to the department's data strategy by supporting the full lifecycle of data acquisition, processing, and predictive modelling.
• Data Quality & Prep: Perform rigorous Exploratory Data Analysis (EDA) and data wrangling to ensure high levels of data quality and integrity prior to model development.
• Operational Efficiency: Support data mart enhancements and the automation of repetitive tasks to streamline departmental workflows.
• Model Development: Participate in the end-to-end Machine Learning lifecycle, including developing, testing, and validating models such as Regression and Clustering.
• Insight Visualization: Develop and maintain interactive dashboards to share actionable insights that align with business strategies.
• Collaborative Partnership: Work closely with team members and cro...