Data Scientist — ML & Analytics for Insurance (Hybrid)

QBE Asia; Petaling Jaya; Hybrid; MYR 200,000 - 250,000; Full time

Job summary

A leading insurance company in Petaling Jaya is seeking a full-time role focused on applying scientific principles and analytics to enhance business performance. Responsibilities include developing analytical use cases, collaborating on diverse projects, and leveraging data to inform business decisions. The ideal candidate will possess strong programming skills in R, Python, and Spark, along with a quantitative educational background. Join us to make a positive impact in the community, supported by flexible working options and comprehensive benefits.

Benefits

Flex and hybrid working options

Work from home policy

Well-being programs

Medical benefits

Access to LinkedIn Learning

3 additional family care leaves

Study leave

Qualifications

• Experience in producing insights from large datasets.
• Comfortable in a Linux environment.
• Collaborative programming project experience.

Responsibilities

• Develop and refine analytical use cases with internal business customers.
• Play an active role in projects within the insurance domain.
• Translate between business and analytical problems.
• Interrogate and interpret data and models to evaluate hypotheses.
• Integrate and present data analyses to communicate results.

Skills

Data Analysis

Machine Learning

R Programming

Critical Thinking

Communication

Collaboration Tools

Stakeholder Management

Education

Bachelor to Postgraduate Degree in a Quantitative field

Tertiary Degree or equivalent combination

Tools

R

Python

Spark

Job description

A leading insurance company in Petaling Jaya is seeking a full-time role focused on applying scientific principles and analytics to enhance business performance. Responsibilities include developing analytical use cases, collaborating on diverse projects, and leveraging data to inform business decisions. The ideal candidate will possess strong programming skills in R, Python, and Spark, along with a quantitative educational background. Join us to make a positive impact in the community, supported by flexible working options and comprehensive benefits.