**Location:** Singapore **Minimum Internship Commitment Duration:** 3-4 months **Work Schedule:** Full-time minimum of 5-days per week, 8AM - 5PM, with occasional evening meetings **Internship Job Overview** 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. **Functional Skills** We are keen to test out new approach & feature engineering which might improve the way we do forecast including geo-spatial analytics, which includes: + Azure cloud + Python + Machine Learning + Data Wrangling and ETL + Statistics + Geo-Spatial analytics skillset is a plus + Advanced level in SQL + Analytical mind and great business sense + Advance analytics + Automation + Others **Internship Details:** + The internship is scheduled for a duration of 6 months + The role requires a full-time commitment, minimum of 5-days per week. As we work with global teams, working hours may need to accommodate US and UK time zones for ad-hoc meetings. **What We Offer:** + Mentorship from experienced professionals. + Opportunity to work on real projects and make meaningful contributions. + Networking opportunities within the industry. + Flexible working hours. + A collaborative and dynamic work environment. **What can help you be successful in the role?** **What We Can Do for You** + Our Purpose is 'TO REFRESH THE WORLD. MAKE A DIFFERENCE' this role will allow you to have a direct impact on how we improve our revenue, share, and execution in the marketplace. + Working for a globally networked organization committed scaling best practices and ideas there is no limit to the impact you can have or the network of colleagues you can build. + As part of the Digital & Technology organization you will empower the enterprise and the system by building connected digital and data platforms for the future. **Growth Behavior:** + Growth Mindset: Demonstrates Curiosity. Welcomes failure as a learning opportunity. + Smart Risk: Makes bold decisions/recommendations. + Externally Focused: Understands the upstream and downstream implications of his/her work. + Performance Driven & Accountable: Has high performance standards. Outperforms her/his peers. + Fast/Agile: Removes barriers to move faster. Experiments and adapts. Thrives under pressure and fast pace. + Empowered: Brings solutions instead of problems. Challenges the status quo. Has the courage to take an unpopular stance. **Skills:** organization We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.