Technical Operations Data Engineer Intern

Position Overview: The Data Engineer Intern will be a dynamic contributor to the Technical Operations & Innovation team's digitization initiatives. They will leverage advanced analytics, machine learning, and artificial intelligence to drive innovation and efficiency in supply chain operations.

Project Brief:

• The project aims to move to a more automated and digitalized reporting for innovation and supply disruptions. This project aligns with the strategic goal of transforming to become world-class supply chain partners through enhanced data management and accessibility, leading to more informed decision-making.
• The activities involved in this project include:
  • Creating a platform to integrate various dashboards.
  • Creating a cross-function collaboration platform on innovation project management
  • Data automation for reporting and analysing.
• The benefit of this project includes:
  • Efficiency Improvement: Integrate various data source / Dashboard into an easy reference and retrievable
  • Data Integration: Creation of data automation / less manual intervention
  • Enhanced Collaboration: platform for all team member to collaboratively work on the same database / data platform for innovation project management

Key Responsibilities:

• Engage with the Technical Operations & Innovation team and related functions to understand business needs and identify opportunities to integrate data science solutions for data-driven solutions.
• Deliver defined internal Technical Operations & Innovation digitalization project aimed to improve efficiency and effectiveness of Technical Operations & Innovation processes.
  • Develop scalable data pipelines for analytical and operational use cases.
  • Contribute to the creation of a unified data model to enable exponential scalability and enterprise value creation.
  • Document and communicate findings and insights to stakeholders at all levels.
  • Provide knowledge transfer to Technical Operations and Innovation team on data and its automation processes / approaches

Qualifications:

• Currently pursuing a post-graduate degree in Computer Science, Data Science, Engineering, or a related field.
• Strong analytical skills with experience in SQL, Python, R, or similar data analysis tools.
• Familiarity with machine learning frameworks and libraries.
• Excellent problem-solving abilities and a 'problem first, not data first' approach.
• Ability to work collaboratively in a team environment.
• Strong communication skills to effectively share insights and recommendations.

Learning Opportunities:

• Gain hands-on experience with real-world Technical Operations & Innovation challenges and data science applications.
• Work closely with experienced Technical Operations & Innovation professionals and data scientists.
• Contribute to impactful projects that drive operational efficiency and innovation.
• Develop a deep understanding of the Technical Operations & Innovation domain and the role of data in decision-making processes.

Skills: