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DHL eCommerce Linkedin · Posted today

Senior Data Scientist

Australia

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Indexed description

Job Purpose

  • Lead and guide Data Scientists, Analysts, and cross-functional data enthusiasts.
  • Drive AI-led initiatives by building reusable AI, RPA based modules and intelligent data products.
  • Own end-to-end delivery of data science projects with strong project management governance.

Reports to Head of IT, DHL eCommerce Australia

Differentiator

  • Strong expertise across Power BI, Python, Microsoft Fabric, and RPA platforms.
  • Combines data science, AI, and intelligent automation (RPA) capabilities.

Key Tasks

  • Mentor Data Scientists, Analysts, and data enthusiasts across functions.
  • Design and implement AI/ML models and RPA solutions for automation and optimisation.
  • Build reusable AI and RPA modules (forecasting, anomaly detection, process automation).
  • Lead end-to-end project delivery including planning, execution, and stakeholder alignment.
  • Drive Microsoft Fabric adoption for scalable data and analytics solutions.

Stakeholders

  • IT Team
  • Sales & Customer Sales teams
  • Finance and Commercial stakeholders
  • Operations Team

Management Responsibility

  • Mentor and influence teams without direct authority
  • Lead multiple data and AI initiatives
  • Build future data and AI capability across the organisation

Skills

  • Advanced Python and machine learning frameworks
  • Expert in Power BI and data visualisation
  • Strong hands-on experience with Microsoft Fabric
  • Experience with RPA tools and automation frameworks (e.g., UiPath, Power Automate)
  • Strong project management and stakeholder management
  • 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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