Data Scientist

About Us

Malaysian Life Reinsurance Group Berhad (MLRe) is the first reinsurer in Malaysia, and we take pride in our strong local presence and in-depth knowledge of the local market as well as its global industry expertise.

With over 25 years of experience, we combine our excellent understanding of the local market and global technical expertise to provide innovative reinsurance solutions to clients.

We're Hiring: Data Scientist at ML Re!

Malaysian Life Reinsurance Group Berhad (ML Re) is advancing our analytics and data capabilities, and we're looking for a Data Scientist with strong insurance domain knowledge to help drive our Data & AI roadmap.

This role will transform complex insurance data into insights, strengthen enterprise data governance, and support ML Re's journey toward a fully data-driven operating model.

What You'll Do:

• Lead ML Re's Data & AI strategy, including defining the data operating model, architecture, and transformation roadmap.
• Analyze policyholder, claims, and underwriting data to uncover patterns, anomalies, and opportunities for improvement.
• Build AI/ML models for risk assessment, fraud detection, customer lifetime value, and pricing optimization.
• Act as Operational Data Steward, driving enterprise data governance by institutionalizing data quality standards, data retention policies, and regulatory compliance (BNM, GDPR).
• Set up the data strategic pillars, framework, tools for data operational excellence, i.e. implementation of Power BI and/or Tableau and define the SLAs for operational excellence and guide team on meeting SLAs using data insights.
• Collaborate closely with actuaries, underwriters, IT and business stakeholders to embed analytics into decision-making processes.
• Lead the implementation of enterprise-wide data frameworks, including information architecture, data issue management, and data quality metrics.
• Build data literacy and capability across divisions, cultivates a network of data stewards/champions via the Data Community of Practice, and provides guidance and technical support on data standards, tools and analytical methods.

What We're Looking For:

• Bachelor's or Master's in Data Science, Statistics, Actuarial Science, Computer Science, or related field.
• 5+ years data science experience in insurance or financial services.
• Proficiency in Python, R, SQL, and BI tools (Power BI, Tableau).
• Experience with ML libraries such as scikit-learn, XGBoost, and TensorFlow.
• Strong understanding of underwriting, claims, reinsurance, and regulatory requirements.
• Certifications like CDMP, CIMP, CMDP, PMP, or HarvardX Data Science are an advantage.

Be part of ML Re's data transformation journey by applying with us!