Associate Director Data Science

Major accountabilities:

• Use data and advanced analytics to improve forecasts and support commercial decisions.

• Develop and maintain predictive models, statistical analyses, and machine learning

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• Analyze complex datasets and turn the findings into clear recommendations for business teams.

• Partner with cross-functional teams to understand business challenges and define analytical approaches that support strategic objectives.

• Develop and maintain dashboards, reports, and performance metrics to enable effective monitoring of key business outcomes.

• Ensure data quality, integrity, and consistency across analytical models, reporting processes, and data sources.

• Communicate analytical findings and insights clearly to technical and non-technical audiences

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• Contribute to the continuous improvement of forecasting methodologies, analytics capabilities, and data science best practices within the organization.

Key performance indicators:

• Delivery of analytics projects on time and within scope.

• Forecast accuracy and predictive model performance.

• Stakeholder adoption of analytics and reporting outputs.

• Quality and accuracy of insights and recommendations.

• Business impact is generated through data-driven decision-making.

• Data quality and compliance with governance standards.

• Contribution to analytics innovation and capability building.