Product analyst

We are seeking four detail-oriented and analytical Product Analysts to support our Data & Risk product family on an extendable 12-month contract basis. This is a flexible, hands-on role spanning two closely connected areas of work: 1. Product analysis, quality and validation for Data Enrichment products; and 2. Data labeling and AI/model quality validation for Machine Learning capabilities.

• Support the Merchant Information product team in analysing product performance, quality signals, customer feedback, and operational data.
• Query, structure, and analyse data to identify patterns, recurring issues, inconsistencies, and opportunities for product improvement.
• Create clear visualisations, reports, and summaries that help stakeholders understand performance, quality, progress, and priority areas.
• Support product discovery and delivery by clarifying requirements, documenting expected behaviour, and translating feedback into structured findings.
• Assist with testing, validation, and quality assurance activities, including validating product behaviour during releases, migrations, and changes to data-processing logic.
• Investigate discrepancies between expected and actual product outputs and work with relevant teams to define and track resolution actions.
• Maintain lightweight documentation of findings, quality assessments, test outcomes, decisions, and follow-up actions.
• Label and classify transaction and merchant data used to train and improve machine learning and AI models.
• Review and quality assure labeled datasets to ensure accuracy, consistency, completeness, and adherence to defined guidelines.
• Validate AI-generated labels and model outputs, identifying misclassifications, edge cases, data-quality issues, and improvement opportunities.
• Analyse model and classification performance using appropriate measures, including precision, recall, accuracy, F1 score, and confusion matrices.
• Support validation activities for machine learning models and AI-assisted workflows, including models hosted on platforms such as Google Vertex AI.
• Work with Data Scientists and Machine Learning Engineers to improve labeling guidelines, training-data quality, validation processes, and model performance.
• Contribute to the evolution of internal tools, quality frameworks, validation processes, and operating practices as labeling workflows become increasingly automated.

• on an extendable 12-month contract basis