Able to commit to a full-time 6 month internship (Jan – Jun 2026)
Leaders with strong academic results in a Master's Degree or above in Computer Science, Mathematics, Economics, Statistics, Applied Science or other quant-focused field
Proficient in Python
Knowledge on big data environment and Spark is preferred
Familiar with Operations Research (optimization, simulation) and machine learning models (tree models, Deep Learning, Reinforcement Learning, etc.)
Proven use of machine learning, statistical modelling or econometrics in internship or coursework
Excellent written and verbal communication skills to influence others to take action
Comfortable collaborating cross-functionally – with people from different functions, backgrounds and experiences
Possess strong thinking/problem-solving skills which can be applied to business processes with a "can-do" attitude
Proven capability to handle multiple priorities
Responsibilities
Work on real-life projects from Day 1 – understand business objectives and generate impactful insights by investigating datasets of point-of-sales, geospatial, product & supply, DTC, CRM, TV media, online search, etc from more than 10 countries across the region
Build, validate, test and deploy machine learning or other data science models into IT platforms
Be on the central data scientist team taking on supply chain, retail and media analytics problems that are general across brands, or be in the embedded data scientist team addressing eCommerce and consumer problems close to a brand