Senior Executive Data Scientist

Tokio Marine Insurans (Malaysia) Berhad; Kuala Lumpur; On-site; MYR 90,000 - 180,000; Full time

Job summary

Tokio Marine Insurans (Malaysia) Berhad is seeking a Data Scientist to develop and deploy data-driven solutions using statistical analysis, predictive modelling and machine learning. The role transforms complex data into actionable insights to support business decision-making and performance.

You will collaborate with business units, prepare and analyze data from multiple sources, and present findings to both technical and non-technical stakeholders.

Qualifications

• Strong background in statistics and data analysis.
• Experience in predictive modelling and machine learning.
• Ability to translate business problems into analytical solutions.

Responsibilities

• Perform exploratory data analysis on large datasets to identify patterns and opportunities.
• Design, validate and deploy predictive and machine learning models to solve business needs.
• Support model deployment and monitoring to ensure accuracy and relevance.
• Collaborate with business units to translate requirements into data-driven insights.
• Prepare and analyze data from multiple sources to support modelling initiatives.
• Present findings clearly to technical and non-technical stakeholders.
• Maintain model documentation and governance in line with standards.
• Stay updated on new data science techniques and apply where appropriate.
• Handle ad-hoc analytics projects as needed.

Skills

Statistical analysis

Predictive modelling

Machine learning

Job description

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

Responsibilities

• Perform exploratory and advanced data analysison large and complex datasets to identify trends, patterns, anomalies andbusiness opportunities.
• Design, develop, validate and monitorpredictive, statistical and machine learning models to address business needsand improve decision-making.
• Support the deployment and operationalisation ofanalytical and machine learning models, including performance monitoring andcontinuous enhancement to ensure accuracy, reliability and relevance.
• Partnerwith business units to understand business challenges, translate requirementsinto analytical solutions and provide actionable recommendations.
• Prepare, transform and analyze data frommultiple sources to support modelling and analytical initiatives.
• Present analytical findings and recommendationsclearly and effectively to both technical and non-technical stakeholders.
• Maintain appropriate model documentation,validation and governance standards in accordance with organisationalrequirements.
• Keep abreast of emerging data science, analyticsand machine learning techniques and identify opportunities for practicalapplication.
• Undertakeother ad-hoc projects and assignments as required.

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Tokio Marine Insurans (Malaysia) Berhad or TMIM is a subsidiary of Tokio Marine Asia Pte. Ltd. Singapore and its ultimate holding company is Tokio Marine Holdings Inc., in Japan. The Tokio Marine Group has had more than 140 years history in Japan being the oldest and one of the largest insurance group in Japan. The group is engaged in a wide variety of businesses ranging from non-life insurance to life insurance, international insurance, financial and other general business. The Group operates a worldwide network that spans 46 countries and regions to provide safety and security to customers.

Tokio Marine Insurans (Malaysia) Berhad or TMIM is a subsidiary of Tokio Marine Asia Pte. Ltd. Singapore and its ultimate holding company is Tokio Marine Holdings Inc., in Japan. The Tokio Marine Group has had more than 140 years history in Japan being the oldest and one of the largest insurance group in Japan. The group is engaged in a wide variety of businesses ranging from non-life insurance to life insurance, international insurance, financial and other general business. The Group operates a worldwide network that spans 46 countries and regions to provide safety and security to customers.