Data Scientist

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As QBE ANZO on embarks building a data driven organisation, we're looking for individuals with data science skills.

Summary about this job

Mathematics, Statistics & Information Sciences

Company: QBE

Location: Sydney

Work type: Full Time

Salary: n\a

Phone: +61-7-5115-5338

Fax: +61-2-1079-8512

E-mail: n\a

Site:

Detail information about job Data Scientist. Terms and conditions vacancy

  • QBE is Australia's only truly international general insurer
  • Looking for highly motivated individuals with expertise in Data & Analytics
  • Located in the heart of the CBD

QBE is one of the top 20 global general insurers and is recognised as Australia's largest international insurance and Reinsurance Company, with operations in 37 countries around the world.

Working at QBE, we recognise the value of diversity and inclusion in the workplace and support a range of flexible work arrangements to promote a better family/life/work balance.

We offer you a dynamic workplace culture, one that values and leverages the unique ideas, capabilities and experiences you bring irrespective of where you are in the world. We believe this strengthens our ability to deliver on our business goals, particularly as it relates to innovation, growth and our focus on customers.

The opportunity

QBE is about to embark on a journey of growth in Data and Analytics and we will be looking for a number of experienced Data professionals to help us in this next phase of our growth. 

The Data Scientist serves as a modelling and data science partner for assigned business areas responsible for the scientific integrity of work products, including study design, research methodology, and the deployment of statistical approaches and modelling.

Key Responsibilities

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

What does success look like?

  • Degree qualified in econometrics, mathematics, statistics or related discipline
  • Strong knowledge of statistical/data mining methods and application in a business environment
  • 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
  • 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
  • Business and financial acumen
  • Curiosity to learn and keep up with market trends and innovations
  • Flexibility to adapt in a complex changing environment
  • Ability to lead, manage and motivate a team, engage and influence stakeholders at all levels
  • Strong written and verbal communication skills

Benefits?

At QBE, you will be provided with a competitive remuneration structure and benefits, in an environment that offers support, and encourages career development and learning.

We offer a range of benefits and discounts including:

  • Paid Parental leave (inclusive of paid superannuation during this time)
  • Secondment opportunities
  • Employee assistance programme
  • Paid volunteer leave
  • Purchased leave
  • Product discounts
  • Superannuation matching

Applicants will be required to provide evidence of their eligibility to work in Australia, and at a minimum be required to undertake police and basic credit checks as a condition of employment.

For more information, click the APPLY button to submit your details.

 

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