Data Science, Analyst
At a glance
Mid-level Data Science role at AIA. Kuala Lumpur · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Deliver data science work that supports business growth, customer experience, productivity and efficiency
- Turn successful analytics practices into approaches that can be reused across markets
- Create analytics solutions that inform business decisions and show measurable results
- Set priorities with Insights colleagues and business users, then deliver work at the pace the business needs
What you bring
- A bachelor's or master's degree in a relevant area of study
- At least three years of experience in data science-related work
- Strong programming-based analytics skills using SQL, R, Python or another listed language
- Experience building statistical, segmentation, predictive or propensity models, including methods such as clustering or hypothesis testing
Who this fits
This mid-level role suits someone who can connect analytics delivery with business results and work across teams. You should be comfortable handling competing priorities in a fast-moving, multidisciplinary setting. The role is based in Kuala Lumpur, Malaysia.
From the employer
At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
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.
If you believe in developing a better tomorrow, read on.
About the Role
To support data science & analytics solution development to enable AIA’svision of promoting Healthier, Longer, Better Lives.
Roles & 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.
Create valuable best practices that can be replicated in other markets.
To produce best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness.
To deliver the analytics workplan with the Insights team and business users
To ensure delivery of brilliant analytics work that meets the business pace.
Job Requirements:
Bachelor's Degree / Masters in any relevant field of study is required.
3 years’+ data science related experience.
Expert in programming-based analytics with experience in two or more of the following languages: - SQL, R, Python
Proven experience in building statistical models, segmentations, predictive and propensity models (e.g. clustering, predictive models, neural network, scenario analysis, conceptual modelling, hypothesis testing).
Good understanding of design and machine learning algorithm principles.
Good understanding of machine learning model management principles and practices.
Able to work in a fast-paced, multidisciplinary and competitive environment.
Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.
Able to collaborate with other teams to drive positive outcomes.
Strong business acumen and project management skills with ability to manage multiple priorities.
Added bonus if candidate has experiences over Big Data platform (especially unstructured data) and deep learning.
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.
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