Senior AI Data Analyst

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.

Key Responsibilities

• AI & Advanced Analytics
• 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
• Data Strategy & Governance
• 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
• Stakeholder Collaboration
• 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
• Reporting & Visualization
• 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

Requirements

Required Qualifications:

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (Master's 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

Preferred Qualifications:

• 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

What You'll Deliver:

• 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