About the role
Job Purpose
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Lead and guide Data Scientists, Analysts, and cross-functional data enthusiasts.
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Drive AI-led initiatives by building reusable AI, RPA based modules and intelligent data products.
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Own end-to-end delivery of data science projects with strong project management governance.
Reports to Head of IT, DHL eCommerce Australia
Differentiator
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Strong expertise across Power BI, Python, Microsoft Fabric, and RPA platforms.
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Combines data science, AI, and intelligent automation (RPA) capabilities.
Key Tasks
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Mentor Data Scientists, Analysts, and data enthusiasts across functions.
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Design and implement AI/ML models and RPA solutions for automation and optimisation.
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Build reusable AI and RPA modules (forecasting, anomaly detection, process automation).
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Lead end-to-end project delivery including planning, execution, and stakeholder alignment.
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Drive Microsoft Fabric adoption for scalable data and analytics solutions.
Stakeholders
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IT Team
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Sales & Customer Sales teams
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Finance and Commercial stakeholders
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Operations Team
Management Responsibility
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Mentor and influence teams without direct authority
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Lead multiple data and AI initiatives
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Build future data and AI capability across the organisation
Skills
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Advanced Python and machine learning frameworks
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Expert in Power BI and data visualisation
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Strong hands-on experience with Microsoft Fabric
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Experience with RPA tools and automation frameworks (e.g., UiPath, Power Automate)
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Strong project management and stakeholder management
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Strong interest in AI and building scalable AI + automation modules
Qualifications & Key Requirements
Education Level
Bachelor’s/Master’s in Data Science, Computer Science, or related field
Experience Level
6–10 years in analytics/data science with leadership exposure
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