Data Scientist

Job description

Global Financial Services provider requires a Data Scientist to analyse large datasets utilising AI and ML

Your new company

This Global Financial Service provider utilises there Data Office charged with uplifting and driving business data strategy, to ensure Data is at the heart of everything.

Your new role

As a Data Scientist who can lead the way, on an end to end project in analysing large amounts of raw information to find patterns and build data products. Move from reporting on what is happening/ happened to leverage data science techniques determining the future state and utilise AI and machine learning to deliver real organisational value.

  • Responsible for prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to provide insights and development of data products
  • Through the insights and visualisation of complex data sets, contribute significantly to audience planning, set-up, optimization and insights
  • Analyse large datasets of both structured and unstructured data to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Propose solutions and strategies to business challenges
  • Mentor, educate and inspire others within the team and across the business around the value of data science methods and best practices.

What you'll need to succeed

  • Proven experience as a Data Scientist – applying Data Science Methods to solve real word business problems within a commercial setting
  • Experience across data mining, statistical methods and machine-learning techniques
  • Programming experience across one or more of: R, Python, Scala or SQL
  • Experience applying advanced analytical and statistical methods
  • A degree in a highly quantitative field (Computer Science, Engineering, statistics etc.)
  • Excellent communication and presentation skills to be able to articulate findings to the business

You must be eligible to work in Australia, with current residency. (PR or Citizenship)

What you'll get in return

Have the chance to work with the best tools, technologies out there within Data Science across the lifecycle of an end to end project.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.

LHS 297508 #2582657

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