Allocation Optimization Design optimization models for inventory allocation across stores Balance constraints such as stock availability, demand, and capacity
Dashboarding and Analytics Create and maintain impactful analytics that drive business decisions across various platforms (e.g., dashboards)
Data & Collaboration Work with data stakeholders to ensure reliable data pipelines and translate business requirements into analytical solutions
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Perform test execution, accurately record results, evidence, and defects, and support overall validation of system changes.
Preferably an undergraduate in the penultimate or final year of a Computer Science, Information Technology, Software Engineering, Data Analytics, Business IT, or related program
Must be proficient in both written and spoken English
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Assist in ensuring solutions are suitable for production through adherence to governance, policy, and best practices.
Analyze system performance data (uptime, incidents, and ticket volume) to identify trends, forecast demand, and provide insights for capacity planning and monitoring improvements.
Apply GenAI to develop and document prompt strategies for analysis, ensuring knowledge transfer to BAU for ongoing use.
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Assist in the development and enhancement of AI-powered chatbots using GCP services such as Dialogflow, Vertex AI, Firestore or other relevant platforms
Involve in Retrieval-Augmented Generation (RAG) techniques to improve chatbot relevance using enterprise documents. Participate in testing and refining chatbot performance to ensure accuracy and user satisfaction
Research and explore the concepts and applications of Agentic AI, focusing on how it can be implemented using GCP tools and services (e.g., Vertex AI Agents, custom models
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• You have finished a Master’s degree in a Quantitative field (Computer Science, Mathematics, Engineering, Business analytics, Artificial intelligence etc.).
• 5+ years experience in data science• You take responsibility for your work and are continuously looking for new opportunities to make a change.
• You embrace the process of trial and error and learn from both successes and failures. Like us, you are always seeking to improve and innovate.
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• You have finished a Master’s degree in a Quantitative field (Computer Science, Mathematics, Engineering, Business analytics, Artificial intelligence etc.).
• 5+ years experience in data science• You take responsibility for your work and are continuously looking for new opportunities to make a change.
• You embrace the process of trial and error and learn from both successes and failures. Like us, you are always seeking to improve and innovate.
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Prepare reports, dashboards, and performance summaries that turn campaign data into clear insights and next steps.
Support testing and optimisation across audiences, creatives, landing pages, funnels, and media spend.
Work with internal teams to identify performance issues, recommend practical improvements, and progressively develop into client-facing, consultant-level responsibilities.
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Support QAQC Manager in certification body, audit coordination, certification activities, and departmental improvement projects.
Monitor, maintain, and manage the validity of product certifications, approvals and applicable standards to ensure continuous compliance with regulatory, certification, and customer requirements.
Control, maintain, and distribute ISO documented information, procedures, work instructions, records, and Technical Files in accordance with established document control procedures.
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Analyse user behaviour across onboarding, activation, repeat purchase, and long-term retention stages, evaluate triggers that influence habit formation and repeat purchase behaviour.
Translate insights into recommendations for lifecycle improvements (activation nudges, habit loops, repeat triggers).
Evaluate user sensitivity to promotions, points, loyalty rewards, and price changes by market.
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Work closely with internal marketing stakeholders, including paid media, content, design, website, SEO, and operations teams.
Test and improve campaign variables including audiences, creative angles, messaging, budgets, landing pages, offers, calls to action, and marketing funnels.
Support the development of insight-led content campaigns, including blogs, educational content, videos, webinars, customer stories, and downloadable resources.
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