Data Science, Analyst

Malaysia·Kuala Lumpurmid

Data ScienceData & AI

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Quick Summary

Key Responsibilities

To be part of the data science team to deliver analytical work with business execution that contribute to business growth, customer experience, productivity and optimizes efficiencies.

Requirements Summary

Bachelor's Degree / Masters in any relevant field of study is required. 3 years’+ data science related experience.

Technical Tools

Data ScienceData & AI

As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

About the Role

~1 min read

To support data science & analytics solution development to enable AIA’s
vision of promoting Healthier, Longer, Better Lives.

Responsibilities

~2 min read

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To be part of the data science team to deliver analytical work with business execution that contribute to business growth, customer experience, productivity and optimizes efficiencies.
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Create valuable best practices that can be replicated in other markets.
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To produce best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness.
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To deliver the analytics workplan with the Insights team and business users
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To ensure delivery of brilliant analytics work that meets the business pace.

Job Requirements:

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Bachelor's Degree / Masters in any relevant field of study is required.
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3 years’+ data science related experience.
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Expert in programming-based analytics with experience in two or more of the following languages: - SQL, R, Python
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Proven experience in building statistical models, segmentations, predictive and propensity models (e.g. clustering, predictive models, neural network, scenario analysis, conceptual modelling, hypothesis testing).
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Good understanding of design and machine learning algorithm principles.
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Good understanding of machine learning model management principles and practices.
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Able to work in a fast-paced, multidisciplinary and competitive environment.
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Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.
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Able to collaborate with other teams to drive positive outcomes.
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Strong business acumen and project management skills with ability to manage multiple priorities.
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Added bonus if candidate has experiences over Big Data platform (especially unstructured data) and deep learning.
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Strong sense of urgency and accountability to drive business outcomes.

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.