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