Agency Data Science, Principal

This is a hands-on individual contributor role for a strong analytics professional who can translate business questions into actionable insights, develop analytical solutions, and support the adoption of data and analytics capabilities across the agency distribution.

Responsibilities:

• Analyse agency behaviour and production data to identify trends, opportunities, and actionable insights that support business growth and productivity improvement.
• Develop advanced analytical models to support areas such as performance management, retention, lead conversion, and business planning.
• Partner with cross-functional teams to embed analytics into agency management strategies and act as a trusted analytics SME to leadership by providing data-backed recommendations with measurable business impact.
• Design and deliver dashboards and reports to support timely performance monitoring and decision-making.
• Prepare clear and compelling presentations to communicate analysis, insights, recommendations, and project progress to senior stakeholders.
• Support data enrichment initiatives by integrating internal and external data sources to strengthen analysis, targeting, and opportunity assessment.
• Lead the design, implementation, rollout, tracking, change management, and ongoing enhancement of GenAI-enabled solutions that improve business processes, user productivity, and decision support.
• Lead and mentor a small group of junior data scientists or project-based resources on designated initiatives and ensure delivery is completed on time and to a high standard.
• Ensure all analytics activities comply with Insurance Authority regulatory requirements, data privacy laws, and internal governance standards.

Requirements:

• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Data Science, Business Analytics, Actuarial Science, Econometrics, or a related quantitative discipline. A PhD would be an advantage.
• 8+ years of practical experience in data analytics, data science, or related roles, preferably in insurance, financial services, and/or consulting.
• Strong knowledge of insurance agency operations, distribution models, and productivity drivers.
• Hands-on proficiency in tools such as SQL, Python, Power BI, or similar analytics and visualization platforms.
• Familiarity with cutting-edge agentic AI and automation tools and their application in enterprise environments, with the ability to support experimentation, implementation, and value realization in practical settings.
• Self-starter with proven ability to work independently as a senior-level individual contributor.
• Demonstrated ability to design and implement data enrichment strategies for agency or customer databases.
• Excellent communication and presentation skills, with the ability to influence senior stakeholders through data-driven insights.
• Strong understanding of compliance requirements in insurance data management and analytics.
• Experience mentoring junior analysts or leading workstreams within cross-functional projects.