Regional Data Scientist

QBE


Job Location:

Hong Kong - Hong Kong

Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Primary Details

Time Type: Full time

Worker Type: Employee

Junior Data Scientist Asia

Role Highlights

  • Hong KongHybridworking arrangement andpermanent

  • 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 this roleyoullwork on real-world challenges that improve decision-makingperformanceand customer outcomes using data scienceanalyticsand modern tools to solve complex business problems.Youllpartner closely with stakeholders to understand their needs shape practical analytical solutions and deliver clear recommendations that influence action.Itsa great opportunityto 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.

Werean international insurer with more than 13000 people working across 26 countries which meanswerebig enough for your ambitions yet small enough for you to make a real impact.Itsan exciting time.Werebuilding 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 worldAspart of the QBE teamyoullget to spend every day working with people who are passionatetalentedand 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/orMLOpspractices whereappropriate.

  • 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 andmaintaineffective 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

  • Bachelors or Mastersdegree 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 andMLOpstools 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 intoappropriate datascience 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 BIggplot Matplotlib).

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

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

  • Bachelors or Mastersdegree 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 andMLOpstools 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 employees experience with us and are proud to have been recognised for the following awards:

  • QorusReinvention 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

Ifyourelooking for a career that combines yourexpertiseand 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.


Required Experience:

IC

Primary DetailsTime Type: Full timeWorker Type: EmployeeJunior Data Scientist AsiaRole HighlightsHong KongHybridworking arrangement andpermanentHappy to talk flexible workingThe OpportunityJoin QBE as a Junior Data Scientist and help turn data into meaningful business impact across our Asia this ro...

About Company

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QBE Insurance Group is one of the world's top 20 insurance and reinsurance companies, located in 26 countries. Visit us for company information.

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