Senior AI Data Analyst

We are seeking a Senior AI Data Analyst to lead the design development and deployment of advanced analytics and artificial intelligence solutions in a large data-driven public service environment.

This role plays a critical part in modernizing operations through responsible use of AI improving service delivery increasing efficiency and supporting evidence-based decision-making. The ideal candidate blends strong technical expertise with the ability to translate complex insights into actionable strategies for leadership and stakeholders.

• Design build and deploy machine learning models predictive analytics solutions NLP tools and AI-driven automation
  
• Lead full lifecycle model development: data acquisition feature engineering training validation deployment and monitoring
  
• Apply responsible AI practices to ensure fairness explainability and transparency
  

• Maintain data quality standards metadata practices and model documentation
  
• Partner with IT and cybersecurity teams to ensure secure handling of sensitive data
  
• Support development of AI governance ethics frameworks and model risk management processes
  

• Identify opportunities to leverage AI to improve operations and service outcomes
  
• Communicate complex findings into clear actionable insights for executive leadership
  
• Provide mentorship and technical guidance to analysts and cross-functional teams
  

• Develop dashboards reports and visualizations to track KPIs trends and forecasts
  
• Build and maintain Business Intelligence solutions (e.g. Power BI)
  
• Integrate AI-driven insights into reporting for real-time decision-making
  

• Bachelors degree in Data Science Computer Science Statistics or a related field (Masters preferred)
  
• 5 years of experience in data analytics data science or AI/ML roles
  
• Hands-on experience with machine learning model development and deployment
  
• Proficiency in Python SQL and data visualization tools (Power BI Tableau or similar)
  
• Experience with NLP predictive modeling or automation solutions
  
• Strong understanding of data governance model validation and performance metrics (e.g. MAE F1 AUROC)
  
• Excellent communication skills with ability to present technical insights to non-technical audiences
  

• Experience working with large complex datasets in regulated environments
  
• Familiarity with MLOps model monitoring and lifecycle management
  
• Exposure to geospatial analytics LLMs or advanced AI frameworks
  
• Experience implementing responsible AI or ethical AI frameworks
  

• Production-level AI solutions improving internal workflows or customer-facing services
  
• Executive-facing dashboards with near real-time insights
  
• Established data quality standards and governance practices
  
• AI governance workflows including bias testing documentation and monitoring
  
• Scalable processes for cross-functional AI project delivery