Job Purpose:

• The job holder will be responsible for transforming enterprise data into actionable insights by developing analytical models, supporting data-driven decision-making, and contributing to the implementation of the organization’s data strategy, governance framework, and advanced analytics capabilities.

Key responsibilities:

• Analyze structured and unstructured data to generate actionable insights for business units.
• Develop predictive and prescriptive models to support business decision-making.
• Build and maintain machine learning models and analytical pipelines.
• Support implementation of the enterprise data framework including data quality and governance standards.
• Work with data platforms e.g., Microsoft Fabric, data lakes to process and analyse data.
• Develop dashboards and visualizations for stakeholders 
• Translate analytical outputs into clear business insights.
• Collaborate with stakeholders across business and technology teams.
• Identify opportunities for AI/ML to improve business performance.
• Perform other duties as assigned.
• Knowledge, experience and qualifications required
• Knowledge, experience and qualifications required:
• Bachelor’s or Master’s Degree in Data Science, Statistics, Computer Science or related field.
• 1- 2 years’ experience in data analytics or data science.
• Proficiency in Python/R, SQL, and Power BI or similar tools.
• Experience with machine learning and statistical modelling.
• Familiarity with cloud data platforms e.g., Microsoft Fabric, Azure.
• Understanding of data governance and regulatory requirements is an advantage.