Key Responsibilities
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Analyse large datasets using SQL and Excel.
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Identify data-quality issues and inconsistencies.
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Perform data validation, testing and quality checks.
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Support data labelling and classification activities.
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Validate AI/ML model outputs and accuracy.
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Prepare reports and dashboards.
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Work with product, data and engineering teams.
Required Skills
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Strong SQL and data analysis skills.
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Experience with large datasets and data validation.
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Understanding of AI/ML and classification concepts.
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Knowledge of data labelling or annotation.
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Good analytical and problem-solving skills.
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Strong English communication skills.
Good to Have
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Experience with transaction or merchant data.
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Knowledge of ML metrics (Accuracy, Precision, Recall, F1 Score).
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Familiarity with Google Vertex AI or similar platforms.
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Experience in regression testing and quality assurance.
Interested candidates can share their updated CVs.
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