Senior Data Scientist

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