Data Scientist

Tokio Marine Group; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Tokio Marine Group is seeking a Data Scientist (Senior Executive) within the Strategic Data Office in Kuala Lumpur, Malaysia. The role focuses on developing data-driven solutions through statistical analysis, predictive modelling and machine learning to improve performance across business functions.

The candidate will transform complex data into actionable insights, support decision-making, and drive the deployment and governance of analytical initiatives in collaboration with business units and

Qualifications

• Perform exploratory and advanced data analysis on large and complex datasets to identify trends and opportunities.
• Design, develop and validate predictive and machine learning models.
• Communicate insights to both technical and non-technical stakeholders.
• Maintain model documentation and governance standards.

Responsibilities

• Conduct exploratory data analysis to identify trends and opportunities.
• Develop and validate predictive and ML models to address business needs.
• Support deployment and monitoring of models, ensuring accuracy and relevance.
• Present findings to stakeholders and translate them into actionable recommendations.

Job description

Data Scientist (Senior Executive)
Underwriting

Strategic Data Office

We are seeking a Data Scientist to develop and deploy data-driven solutions using statistical analysis, predictive modelling and machine learning. The incumbent will transform complex data into actionable insights and analytical solutions to support business decision-making and improve performance across key business functions.

Responsibilities

• Perform exploratory and advanced data analysis on large and complex datasets to identify trends, patterns, anomalies and business opportunities.
• Design, develop, validate and monitor predictive, statistical and machine learning models to address business needs and improve decision-making.
• Support the deployment and operationalisation of analytical and machine learning models, including performance monitoring and continuous enhancement to ensure accuracy, reliability and relevance.
• Partner with business units to understand business challenges, translate requirements into analytical solutions and provide actionable recommendations.
• Prepare, transform and analyse data from multiple sources to support modelling and analytical initiatives.
• Present analytical findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
• Maintain appropriate model documentation, validation and governance standards in accordance with organisational requirements.
• Keep abreast of emerging data science, analytics and machine learning techniques and identify opportunities for practical application.
• Undertake other ad-hoc projects and assignments as required.

Requirements

• Perform exploratory and advanced data analysis on large and complex datasets to identify trends, patterns, anomalies and business opportunities.
• Design, develop, validate and monitor predictive, statistical and machine learning models to address business needs and improve decision-making.
• Support the deployment and operationalisation of analytical and machine learning models, including performance monitoring and continuous enhancement to ensure accuracy, reliability and relevance.
• Partner with business units to understand business challenges, translate requirements into analytical solutions and provide actionable recommendations.
• Prepare, transform and analyse data from multiple sources to support modelling and analytical initiatives.
• Present analytical findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
• Maintain appropriate model documentation, validation and governance standards in accordance with organisational requirements.
• Keep abreast of emerging data science, analytics and machine learning techniques and identify opportunities for practical application.
• Undertake other ad-hoc projects and assignments as required.

Only shortlisted candidates will be contacted.