Data Scientist (Regional role I Perm I 40k)

The Company

Global supply chain leader provides end-to-end freight forwarding and contract logistics across more than 45 countries.

The Role

• Develop and deploy predictive models and analytics solutions to support business needs
• Work with large datasets to perform data exploration, feature engineering, and modelling
• Design and build dashboards and reports using Power BI
• Leverage Microsoft Fabric ecosystem for data processing, integration, and analytics workflows
• Collaborate with business stakeholders to translate requirements into data-driven insights

• Support end-to-end data science lifecycle from data preparation to model deployment

Your Profile

• 4+ years of experience in Data Science / Analytics
• Strong hands-on experience with Microsoft technologies (Fabric, Power BI)
• Proven experience in predictive analytics, statistical modelling, and machine learning
• Proficiency in Python or similar data science tools
• Experience working with structured and unstructured data
• Strong communication skills with ability to engage stakeholders
• Bachelor's degree in Information Systems, Computer Science, Business, or related discipline

Apply Today

To apply online (Word attachment only), please click the 'Apply' button. Please note that only short-listed candidates will be contacted.

Reference No. 67010-0013451597

By clicking 'apply', you give your express consent that Robert Half may use your personal information to process your job application and to contact you from time to time for future employment opportunities. For further information on how Robert Half processes your personal information and how to access and correct your information, please read the Robert Half privacy notice: https://www.roberthalf.com/hk/en/privacy. Please do not submit any sensitive personal data to us in your resume (such as government ID numbers, ethnicity, gender, religion, marital status or trade union membership) as we do not collect your sensitive personal data at this time.