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Intern, AI & Data Engineering

Min Experience

0 years

Location

Singapore

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

As a manufacturing company, The Coca-Cola Company is continuously looking for ways to improve better accuracy in upstream (Demand) and downstream (Go-To-Market Outlet level) forecast. With this opportunity, we plan to evolve and develop new models add to current list of forecast models which will elevate our predictability to next level. We are looking for talent who are passionate about data modelling with a strong analytical mind and great business sense. What You'll Do As an AI & Data Engineering Intern, you will: • Assist in data acquisition and requirements gathering for new AI initiatives. • Collaborate on enhancing existing workflows to improve accuracy and performance. • Support the development of AI-powered data products using agentic frameworks and multi-agent systems. • Work with LLMs and AI agents within frameworks like LangChain, LlamaIndex, and AutoGen. • Contribute to the development of solutions leveraging Azure AI Foundry, MCP (Model Context Protocol), and A2A (Agent-to-Agent) frameworks. Who You Are We're looking for a curious, driven, and collaborative intern who is: • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field. • Experienced in Python through coursework, personal projects, or hackathons. • Familiar with cloud infrastructure concepts, especially within the Azure ecosystem. • Knowledgeable in data engineering, analytics, and ETL processes. • Comfortable with SQL (basic to intermediate level). • Aware of foundational AI concepts, including LLMs, AI agents, and multi-agent systems. • A strong communicator with excellent organizational and problem-solving skills.

About the company

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years.

Skills

Python
Machine Learning
Data Wrangling
ETL
Statistics
Geo-Spatial analytics
SQL
Analytical mind
Business sense
Advanced analytics
Automation