Data Scientist

NIBAARA TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading analytics firm in Singapore is seeking an experienced professional to drive agency performance through innovative analytics solutions. This role involves building performance monitoring tools, designing dashboards, and analyzing incentive programs. The ideal candidate has over 5 years of experience in insurance analytics and strong stakeholder management skills, with a passion for data science. Familiarity with modern data platforms is a plus.

Qualifications

• 5+ years of experience in insurance analytics with a focus on agent performance.
• Proven experience in a customer-facing or consulting role.
• Solid understanding of data science concepts like classification and clustering.

Responsibilities

• Build performance monitoring and management analytics solutions.
• Create agent-facing tools for coaching and performance benchmarks.
• Analyze incentive program effectiveness and suggest optimizations.
• Build dashboards for real-time monitoring of agency performance.

Skills

Insurance analytics

Stakeholder management

Data science concepts

Dashboard design

Generative AI awareness

Tools

Databricks

Google Vertex AI

BigQuery

Job description

Core Focus: This individual will be the go-to expert for our exclusive and independent agency network. The primary responsibility is to translate agency business challenges into data science problems, guide discussions with stakeholders, and ensure that analytical solutions drive tangible value for our agency partners and the business.

Responsibilities:

Build performance monitoring and performance management analytics solutions to drive agency performance.

Create agent-facing tools to provide coaching, provide performance benchmarks and growth opportunities.

Analyze incentive programme effectiveness and suggest optimizations.

Build dashboards for real-time monitoring of agency performance.

Qualifications:

Industry Experience: 5+ years in insurance analytics with specific experience working with or analyzing agent performance. Strong grasp of agency compensation, agency training and retention dynamics is preferred.

Stakeholder Management: Proven experience in a customer-facing or consulting role, demonstrating the ability to manage stakeholder expectations, lead discussions, and translate business needs into technical requirements. Proven ability to make complex data science concepts comprehensible to various types of audiences.

Data Science Acumen: Solid understanding of core data science concepts, including classification, regression, and clustering. You should be able to articulate how these methods can solve specific business problems in the agency business model.

Experience designing self-service tools or dashboards for non-technical users. Emerging Technology: A strong interest in Generative AI and its potential business applications is highly desirable.

Technical Familiarity (Good to Have): Knowledge of modern data platforms such as Databricks, Google Vertex AI, and BigQuery would be beneficial.