Currently pursuing a Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Information Technology, or a related discipline.
Basic understanding of statistics, data analysis, and machine learning concepts.
Familiarity with Python or R for data analysis.
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Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Engineering or a related field.
Basic knowledge of natural language processing (NLP) concepts and techniques.
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2–5 years of professional experience in project management, product management, business consulting, or technology delivery. Prior hands-on experience in engineering, software development, or technical operations is preferred.
Experience working on AI, data platforms, analytics, or digital transformation projects is strongly preferred.
Prior experience in startups, technology companies, consulting firms, or enterprise environments is an advantage.
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Prepare and manage business documents such as quotations, invoices, delivery orders, and service documents accurately and on time.
Maintain organised records for quotations, purchase orders, customer information, and operational workflows so the team can access the correct information easily.
Gather and coordinate information from sales, technical, operations, and accounts teams to support quotation preparation, order processing, and handovers.
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Lead client-facing data science, analytics, and data engineering projects from scoping through deployment and handover.
Design solution architectures using our low-code data science studio, visual ETL, and lakehouse with CDC, balancing maintainability and scale.
Write maintainable Python to extend and integrate platforms, build APIs, custom transformations, model logic, and automation where visual tools are insufficient.
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