data scientist x2 (junior-mid level) in Sydney CBD

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job details

sydney cbd, new south wales
job type
working hours
au$ 100,000 - au$ 130,000 per year
4 years
reference number
glenn abadilla, randstad
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job description

Randstad are on the lookout for a 2 Data Scientists to work for a well-established organization and be responsible for modelling and be a data science partner for allocated business areas accountable for the scientific integrity of work products, including study design, research methodology, and the placement of statistical methods and modelling.

Responsibilities 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 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 the client’s 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

To succeed in this role you will have:

  • 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
  • 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

If you think you have the skills to be successful in this role, then don’t delay and hit the Apply button now! Alternatively you can send your profile to Glenn on

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.


Data Science, Python, R, Big Data


Degree qualified in econometrics, mathematics, statistics or related discipline (Preferably PhD)

educational requirements

Bachelor Degree