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Data Engineer Intern

2 weeks ago

Harbourfront Avenue, Singapore Coca-Cola Full time

**Position Overview**: The Data Engineer Intern will be a dynamic contributor to the supply chain 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 create a SKU Data Master to streamline and enhance the management of SKU-related information. This project aligns with the strategic goal of accelerating top and bottom-line growth through targeted innovation by enhancing data management and accessibility, leading to more informed decision-making.
- The activities involved in this project include:

- Creating a database and input interface to record additional properties related to an SKU such as manufacturing country, BBN, end use, % recycled content if PET, and process line.
- Analysing NSR weekly/monthly data to automatically tag an SKU as active or inactive and define its seasonality based on recorded sales data.
- Combining the results from the first 3 activities to create an SKU data master.
- Rebuilding existing supply chain tools using the new SKU data master as standard data source for SKU properties.
- The benefit of this project includes:

- Efficiency Improvement: Eliminate the use of multiple data source files which requires manual manipulation.
- Data Consolidation: Creation of a single source of SKU information that can be used in multiple reports and tools.
- Enhanced Portfolio Analysis: Provide additional context in portfolio analysis for scoping and screening.

**Key Responsibilities**:

- 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 **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**:

- 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.