Job description

The Data Science Manager will analyze large and complex datasets to extract actionable insights and build predictive models that drive business value. This role is crucial in creating AI solutions that support revenue growth (e.g., personalized marketing, customer segmentation) and operational excellence (e.g., predictive maintenance, network fault diagnostics). The Data Scientist will work closely with AI Engineers, Data Engineers, and Business Analysts to design, test, and deploy AI models that address the Group’s needs across OpCos.

1. Data Exploration and Analysis: Analyze complex datasets to uncover patterns, trends, and relationships that can drive decision-making and provide insights into business problems.
2. Predictive Modeling: Design and develop machine learning models to predict customer behaviors, optimize marketing efforts, and improve operational efficiencies across the Group.
3. Feature Engineering: Collaborate with Data Engineers to extract, transform, and create relevant features from raw data for use in AI models.
4. Model Testing and Evaluation: Use statistical methods to validate and evaluate the performance of machine learning models. Continuously refine models to improve accuracy and business impact.
5. Collaboration: Work with AI Engineers, Business Analysts, and stakeholders across HQ and OpCos to ensure that data models align with business requirements and objectives.
6. Data-driven Decision Making: Provide data-driven recommendations to business units by translating complex data analyses into actionable insights.
7. Algorithm Development: Develop and refine machine learning algorithms that are applicable to a variety of business use cases, such as customer retention, segmentation, and operational diagnostics.
8. Visualization: Create clear and informative visualizations that communicate data findings and insights to non-technical stakeholders.
9. Research: Stay updated on the latest data science techniques and tools. Proactively propose new methodologies and approaches that could benefit the Group's AI initiatives..