Qualifications:
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.
• Minimum of 2 years of work experience in a related field.

Core Responsibilities:
• Develop descriptive and predictive models using Python, R, SQL, or other relevant tools to enhance product usage strategies and customer segmentation.
• Analyse trends in product lines, customer behaviour, and general business performance to identify opportunities, risks, and patterns.
• Propose initiatives to senior management based on data insights.
• Improve customer segmentation techniques for targeted interventions.
• Discover patterns in data through data mining tools to inform the business about internal or external changes.
• Deliver machine learning solutions that will drive revenue and reduce costs.

Core Competencies:
• Proficiency in data analytical tools, with at least two from Python, R, Julia, Tableau, Power BI, ARCGIS/QGIS; SQL is mandatory.
• Strong interpersonal and communication skills, with the ability to work across diverse teams.