About the role

Aplyr's Quick Take

This is a Junior Data Scientist role focused on using data analytics to solve business problems for QBE Insurance in Asia. You'll work closely with stakeholders to develop analytical solutions, present findings, and enhance pricing projects using machine learning. It's primarily an individual contributor role with opportunities for collaboration.

Good fit

Ideal candidates are recent graduates or those with a few years of experience in data science or analytics. A strong background in quantitative fields and a collaborative working style will help you thrive here.

Worth noting

The role offers a hybrid working arrangement and emphasizes flexibility, which is a plus. However, it may not suit those looking for a highly structured environment, as the spec is vague on day-to-day responsibilities.

Primary Details

Time Type: Full time

Worker Type: Employee

Junior Data Scientist, Asia

Role Highlights

Hong Kong, Hybrid working arrangement and permanent

Happy to talk flexible working

The Opportunity

Join QBE as a Junior Data Scientist and help turn data into meaningful business impact across our Asia operations. In this role, you’ll work on real-world challenges that improve decision-making, performance and customer outcomes, using data science, analytics and modern tools to solve complex business problems. You’ll partner closely with stakeholders to understand their needs, shape practical analytical solutions, and deliver clear recommendations that influence action. It’s a great opportunity to build your technical capability, take ownership of project delivery, and collaborate with experienced analytics professionals in a supportive, high-impact environment.

About QBE

At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch.  

We’re an international insurer with more than 13,000 people working across 26 countries – which means we’re big enough for your ambitions, yet small enough for you to make a real impact. It’s an exciting time. We’re building momentum towards our vision to become the most consistent and innovative risk partner.

What if you could have a positive impact – at work and in the world? As part of the QBE team, you’ll get to spend every day working with people who are passionate, talented and kind.

Your New Role

Develop and refine analytical use cases with internal stakeholders, in alignment with Analytics leads and business partners.

Support the development and ongoing enhancement of pricing projects, incorporating machine learning components and applying DevOps and/or MLOps practices where appropriate.

Prepare and present analyses and data visualisations that clearly communicate results, insights, and recommendations to business stakeholders.

Share knowledge and contribute reusable practices, tools, and techniques within the team and across the broader organisation.

Build and maintain effective working relationships across the team and with key stakeholders.

Track and report the benefits delivered to internal stakeholders.

Contribute to Data & Analytics architecture, as well as reporting, analysis, and modelling standards and methodologies.

About You

Bachelor’s or Master’s degree in a quantitative discipline, such as Computer Science, Engineering, Statistics, Mathematics, or a related field.

Detailed knowledge of contemporary statistical and machine learning techniques, and their practical business applications.

Working knowledge of DevOps and MLOps tools such as Git, Azure DevOps, and Jira.

Intermediate knowledge of relational databases and data processing technologies such as SQL and Spark.

Understanding of experimental design techniques and their associated limitations.

Working knowledge of probability theory and statistics.

Ability to distil complex problems into appropriate data science or machine learning approaches.

Ability to engage effectively with senior team members and business stakeholders, and to communicate findings clearly.

Ability to support the development of architectural prototypes that integrate machine learning with complex and evolving IT systems.

Advanced data visualisation skills (e.g. Power BI, ggplot, Matplotlib).

Inquisitive mindset with a passion for business improvement and evidence-based analysis.

Intermediate to advanced programming skills, particularly in Python and R.

Bachelor’s or Master’s degree in a quantitative discipline, such as Computer Science, Engineering, Statistics, Mathematics, or a related field.

Experience generating meaningful insights from large structured and unstructured datasets.

Experience applying modern data science tools such as R, Python, and Databricks.

Experience collaborating on programming projects; familiarity with DevOps and MLOps tools would be an advantage.

Comfortable working in a Linux environment.

Benefits

We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from:

‘Hybrid Working’ – a mix of working from home and in the office to enhance your work/life balance

Life Leave, supporting the life events we all experience, leaving your annual leave for rest

Free holistic wellbeing coaching, nutritional, confidential counselling, financial and legal advice

Awards & Recognition

We value our employee’s experience with us and are proud to have been recognised for the following awards:

Qorus Reinvention Awards APAC 2025: Gold winner in the ESG category

Digital Insurance Awards APAC: Digital Insurance - Insurer Leader 2025

HKB Technology Excellence Awards: Automation - Insurance

How to Apply

If you’re looking for a career that combines your expertise and your empathy, click Apply today.

Your career. At the heart of it. 

Skills:

Analytical Thinking, Business Intelligence Applications, Business Management, Critical Thinking, Customer Service, Data Analytics, Data Modeling, Data Science, Data Visualization, Data Warehouse, Information Technology Strategies, Intentional collaboration, Managing performance, Risk Management, Stakeholder Management

How to Apply:

To submit your application, click "Apply" and follow the step by step process.

Equal Employment Opportunity:

QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.

Skills & Tags

data

Aplyr's read

QBE Insurance is a global leader in insurance and reinsurance, attracting professionals who thrive in a dynamic, diverse, and challenging environment.
Synthesized from recent postings & public sources

What's promising

•QBE's global presence offers diverse career opportunities across multiple regions and sectors.
•The company invests in cutting-edge technology for improved risk management and customer experience.
•QBE's commitment to sustainability and corporate responsibility enhances its reputation and employee satisfaction.

What to watch

•The insurance industry faces regulatory challenges that could impact QBE's operations.
•QBE's financial performance is susceptible to global economic fluctuations and natural disasters.
•The company has undergone significant restructuring, which may affect job stability.

Why QBE Insurance

•QBE's diverse product portfolio spans across various industries, providing wide-ranging career paths.
•The company has a strong focus on innovation, particularly in digital transformation and data analytics.
•QBE's Australian roots provide a unique perspective in the global insurance market.

Aplyr’s read is generated by AI from public sources. Was it useful?

About QBE Insurance

QBE Insurance

qbe.com

View company

QBE Insurance is a global insurance and reinsurance company headquartered in Sydney, Australia. It provides a wide range of insurance products and services across various sectors.