Pacific Refreshments Pte Ltd (The Coca-Cola Company) – Data Engineering Intern

Company
Pacific Refreshments Pte Ltd (The Coca-Cola Company)
coca-cola.com
Designation
Data Engineering Intern
Date Listed
15 Aug 2024
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
From Jan 2025, For At Least 6 Months
Profession
IT / Information Technology
Industry
Manufacturing Food / Lifestyle / Packaging
Location Name
HarbourFront Avenue, Keppel Bay Tower, Singapore
Address
1 HarbourFront Ave, Singapore 098632
Map
Allowance / Remuneration
$1,500 monthly
Company Profile

Pacific Refreshments Pte Ltd (The Coca-Cola Company) is a strategic concentrate manufacturing plant in Asia. We are an export facility, specializing in the manufacturing of concentrates and beverage bases, with a complex portfolio, supporting the ASEAN, South Pacific and Southwest Asia business units. We are on a journey of growth - having completed the construction and expansion of our site towards doubling our manufacturing capacity in recent years.  We have also embarked on our digital transformation journey, striving to be the Lighthouse for the Consumer Products Supply (CPS) plants in Asia and to be a leader in digital transformation.

Job Description

The Data Engineer Intern will be a dynamic contributor to the supply chain team's digitization initiatives and will be based in our ASEAN & South Pacific (ASP) Operating Unit location in Singapore. They will leverage advanced analytics, machine learning, and artificial intelligence to drive innovation and efficiency in supply chain operations. 

Key Responsibilities: 

  • Develop and manage an SKU Data Master to improve SKU information management, enhancing data accessibility and decision-making to support strategic growth through innovation.
  • Create and implement a database and input interface to record detailed SKU properties and automate the classification and seasonality tagging of SKUs using sales data analysis.
  • Utilize machine learning to analyze existing IP data and determine process lines, and rebuild supply chain tools to integrate with the SKU Data Master as the standard data source.
  • Engage with the supply chain team and related functions to understand business needs and identify opportunities to integrate data science solutions for data-driven solutions. 
  • Deliver defined internal supply chain digitalization project aimed to improve efficiency and effectiveness of supply chain processes.
  • Develop scalable data pipelines for analytical and operational use cases. 
  • Design and implementation of AI/ML models to optimize supply chain processes, as per defined use case. 
  • Contribute to the creation of a unified data model to enable exponential scalability and enterprise value creation. 
  • Help automate decisions in existing processes through intelligent automation and RPA technology. 
  • Document and communicate findings and insights to stakeholders at all levels.

Qualifications: 

  • Currently pursuing a degree/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 supply chain challenges and data science applications. 
  • Work closely with experienced supply chain professionals and data scientists. 
  • Contribute to impactful projects that drive operational efficiency and innovation. 
  • Develop a deep understanding of the supply chain domain and the role of data in decision-making processes. 
This position is already closed and no longer available.  You may like to view the other latest internships here.

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