Job Description

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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.
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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 robust project management governance.
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Reports to Head of IT, DHL eCommerce Australia

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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.
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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.
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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
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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
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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
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Qualifications & Key Requirements

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Education Level

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Bachelor's/Master's in Data Science, Computer Science, or related field

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Experience Level

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6–10 years in analytics/data science with leadership exposure

📌 Senior Data Scientist (Rand)
🏢 DHL eCommerce
📍 Rand