2066 Data Scientist

ROLE & RESPONSIBILITIES:

• Translate business problems into data-driven and AI-enabled solutions
• Perform exploratory data analysis to uncover patterns, issues, and opportunities
• Design, build, and maintain data pipelines to support analytics and modelling use cases
• Develop, train, evaluate, and iterate on machine learning and AI models
• Apply appropriate model evaluation techniques and define success metrics
• Support operational data workflows and resolve day-to-day data processing issues when required
• Produce clear dashboards, reports, and visualisations for stakeholders
• Communicate insights, model behaviour, and recommendations to both technical and business audiences
• Collaborate closely with data engineering, AI platform, and observability teams to productionise solutions
• Contribute to best practices around data quality, governance, and responsible use of AI

• An ideal candidate:
• Is outcome-driven, not model-driven
• Is comfortable working close to data pipelines and production constraints
• Can explain models and uncertainty to business stakeholders
• Collaborates naturally with platform, AI engineering, and observability teams
• Understands that trust, transparency, and governance are as important as accuracy