KEY RESPONSIBILITIES 1. ML Model Operations Support • Support Data Scientists in monitoring and maintaining machine learning models o Assist in tracking model performance and stability • Help prepare and validate input data for model updates • Conduct basic checks on model outputs to ensure consistency and quality • Assist in documenting model inputs, outputs, and logic for team reference 2. Model Results Analysis Support • Collect and organize model prediction results and datasets • Structure outputs into clear formats (Excel tables, summaries) • Perform basic data analysis to support model performance evaluation • Flag anomalies or inconsistencies and support issue investigation 3. Technical & Business Reporting Support • Assist in preparing technical monitoring reports o Model performance tracking, output quality summaries • Support business reporting o Translate model results into simple insights for business stakeholders • Help create slides, charts, and dashboards for internal presentations • Ensure data accuracy and clarity in all reporting materials PROFILE & REQUIREMENTS • Undergraduate or postgraduate student in Data Science, Statistics, Computer Science, Business Analytics, or related fields • Strong interest in AI, machine learning, and data analytics • Good analytical skills and attention to detail • Proficiency in Excel (required) • Basic knowledge of Python / SQL is a plus (not mandatory) • Ability to structure information clearly and communicate insights • Proactive, responsible, and willing to learn in a fast-paced environment LEARNING OPPORTUNITIES • Exposure to real-world AI / ML use cases in luxury retail • Hands-on experience in model monitoring and data workflows • Understanding of how AI outputs are translated into business insights • Close collaboration with Data Scientists and cross-functional teams