Senior Data Scientist: Strategic ML & Analytics Lead

Tokio Marine Insurans (Malaysia) Berhad

Kuala Lumpur

On-site

MYR 90,000 - 180,000

Full time

2 days ago
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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

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.

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