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Urgent! Data Science, Analyst Position in Kuala Lumpur - AIA

Data Science, Analyst



Job description

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

If you believe in developing a better tomorrow, read on.

About the Role

This role supports the development and execution of analytics strategies that align with AIA’s strategic goals and business growth.
• To support the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives.
• To be part of the data science team to deliver analytical work that drives business growth, enhances customer experience, improves productivity, and optimizes efficiencies.
• To create valuable best practices that can be replicated in other markets.
• To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.
• To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring timely and high-quality output that meets business needs.

Roles & Responsibilities:

  • To be part of the data science team in delivering analytical work that supports business execution, contributing to business growth, enhancing customer experience, improving productivity, and optimizing efficiencies.

  • To create valuable best practices that can be replicated across other markets.

  • To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.

  • To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring high-quality output that aligns with business pace and priorities.

  • Job Requirements:

  • Bachelor's Degree or Master's in any relevant field of study is required.

  • Minimum 3 years of experience in data science or related fields.

  • Expert in programming-based analytics, with experience in two or more languages such as SQL, R, or Python.

  • Proven experience in building statistical models, segmentations, and predictive or propensity models, including clustering, neural networks, scenario analysis, conceptual modelling, and hypothesis testing.

  • Good understanding of machine learning algorithm design principles and model management practices.

  • Able to work effectively in a fast-paced, multidisciplinary, and competitive environment.

  • Strong analytical skills, deductive reasoning, problem-solving, and critical thinking abilities.

  • Able to collaborate with other teams to drive positive outcomes.

  • Strong business acumen and project management skills, with the ability to manage multiple priorities.

  • Added bonus if the candidate has experience with Big Data platforms (especially unstructured data) and deep learning.

  • Strong sense of urgency and accountability to drive business outcomes.


  • Required Skill Profession

    Mathematical Science Occupations



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