Data Scientist

Location: Sydney NSW

*** Mention DataYoshi when applying ***

Your part in a changing world

At QBE, we’re driven by our purpose – to give people the confidence to achieve their ambitions .

We are an international insurer and reinsurer offering a diverse portfolio of commercial, personal and specialty products, as well as risk management solutions. Our product portfolio includes property, motor, crop, energy, marine and aviation. We employ a team of more than 11,800 people, in 27 countries around the world.

The opportunity

We have a rare vacancy for a Data Scientist to join our teams based here in the Sydney CBD offices. Reporting into the Head of Analytics, you will be responsible for applying scientific principles to business processes and decisions to improve the quality and performance of various business units, translate the decision-making needs and time-frames of internal business unit stakeholders into data driven, analytically tractable and scientifically provable problems and apply scientific methods and big data tools to resolve them. You will be sourcing and integrating relevant data and collaborating with technical and SME peers as required; and communicate results, findings, and recommendations back to business owners with actionable timeframes.

Your responsibilities will include:

  • Leading analytical conversation with business centred on “The art of the possible using data science”, exploring data from a modelling perspective, and performing initial exploratory data analysis to assess business value

  • Working with information management specialists to identify and classify new feature sets, explore machine learning algorithms, and extract new feature sets

  • Working in close partnership with analytics managers to size analytical opportunities and execute plans that ensure a positive commercial return

  • Developing, implementing, and maintaining analytical models to identify fraud, drive recoveries and renewals, drive profitable growth, and improve underwriting, pricing and claims performance

  • Building analytical application designs and prototyping to test ideas and drive innovation in an agile fashion

  • Working with analytics partners to build and operationalise models, quantifying and analysing model performance, and overseeing model refreshing requirements

  • Managing analytical projects and coordinating activities with other shared services partners by prioritising relevant activities and providing subject matter expertise

  • Assisting in the development of commercial propositions involving the use of analytics within insurance core functions through own analysis, prior experience, and research & development

  • Implementing fit-for-purpose analytics tools and infrastructure that will be adopted by end users (e.g. claims handlers)

  • Positively promoting the department, division and company as a whole, in order to maximise brand leverage and develop the team’s profile

  • Contributing to a positive environment by demonstrating cultural expectations and guiding leaders to reward performance, and valuing “can do” people, accountability, diversity and inclusion, flexibility, continuous improvement, collaboration, creativity and fun

our story so far

  • Degree qualified in econometrics, mathematics, statistics or related discipline

  • Strong knowledge of statistical/data mining methods and application in a business environment

  • Experience in working in Big data technology (Hadoop, NoSQL DB)

  • Track record of implementing models that deliver significant sustained business impact

  • Good understanding of Data Science domain, statistical and analytical model development and implementation

  • Proficient in machine learning techniques and related disciplines

  • Significant data management experience, gained from within the financial services sector, ideally within general insurance

  • Good understanding of data modelling techniques, tools/language - R, Python, Scala, SAS, etc.

  • Good knowledge of visualisation tools such as PowerBI, Tableau, etc.

  • Strong project management, collaboration and communication skills

  • Ability to apply logic and reasoning to identify solutions to complex business problems and implement solutions

  • Curiosity to learn and keep up with market trends and innovations

We are here to support you

We are proud to have been Voted #5 in the 2019 Top 20 Australian Workplaces for New Dads - HBF Direct Advice for Dads and we achieved Gold employer status in the 2019 Australian LGBTI Inclusion Awards.

We also offer a range of benefits to help provide holistic support for your work life, whatever your circumstance. As a QBE employee, we will offer you:

  • Flex@QBE leave to enhance your work/life integration

  • Our ‘At My Best’ wellbeing program, which includes a free 12-month subscription to Headspace

  • Access to ‘Share the Care’ – 12 weeks’ flexible leave for new parents inclusive of paid superannuation

  • The ability to maximise retirement savings through voluntary super contributions and company matching

  • Income protection insurance and reimbursed Death and Total Permanent Disability insurance premiums

  • Access to REACH My Best - free holistic wellbeing coaching, nutritional, financial and legal advice and confidential counselling

  • Discounts on insurance products, car hire, hotels, goods and services

  • Benefits through our various sports and arts sponsorship partners such as free and discounted tickets.

Join us.

Click APPLY to submit your application. Successful applicants will need to complete work rights, police and credit checks through our online provider as a condition of employment.

QBE recognise the value of diverse perspectives and experience. We are committed to an inclusive workplace where everyone feels valued and respected for who they are. If we can provide support with access requirements, alternative work arrangements or you would like to connect with one of our networks please contact us at .


Number of Openings:


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.

*** Mention DataYoshi when applying ***

Offers you may like...


    (Biomedical) Data Scientist / Data Analyst / Busin...
  • Cisco Systems

    Data Science/Machine Learning Engineer
    Bengaluru, Karnataka
  • SmartBLKTrade Limited (SBT)

    Research Data Scientist / Big Data Engineer, AI De...
    Hong Kong
  • Aon

    Data Scientist- Inpoint
    New York, NY 10006
  • PNC

    Software Engineer - Data Scientist/Data Engineer/D...
    Pittsburgh, PA