Data Science Lead



Work type:



Information & Communication Technology


$800.00 - $850.00 per day

Job reference:


Start date:


Contact email:


Joelle Beaton

Our Client is seeking a Data Science Lead for a six-month contract to take responsibility for the design and implementation of advanced analytics and actionable insights related to the customer, channel, and product.

Some of the exciting projects toy may work on includes doing advanced propensity models to drive commercial agenda (retention, up-sell, cross-sell, acquisition), customer insights to shape proposition, advanced matching algorithms to improve customers purchase journey and make product/service / next best action recommendations. The role will design solutions to maximise customer lifetime value and will drive innovation through analytics and insights.
The core responsibility includes:
  • Understanding the business problems and opportunities and providing options for how they can be addressed by analytical techniques and solutions.
  • Using analytics techniques and structured problem solving to meet the needs of Marketing, Product, Portfolio, Channels and other relevant business areas
  • End to end analytics, from data mining/manipulation modelling and statistical analyses (incl. propensity, trigger-based and matching algorithms) to develop and implement strategy recommendations, including test and learn experiments to facilitate feedback, impacts assessment and ongoing improvement
  • Working with stakeholders to identify business opportunities and ensure adoption and education of data science and analytical tools and techniques
  • Developing and implementing structured experiments and ongoing test and learn programs to demonstrate the value of analytics execution
  • Appling demonstrable statistical, machine learning, and business strategy experience to develop and support predictive algorithms and related decision support products
  • Evaluation of new data sources and new data science tools, techniques and software to improve depth of customer understanding
  • Education and promotion of the benefits of data science and data driven analytical solutions

Your skills and experience
  • Expert level experience in analytical / data science tools - R, SAS, SQL, SPSS, Python. Open source technology, cloud based solutions
  • Advanced data mining and predictive modeling skills (e.g. regression, segmentation, machine learning, Bayesian, boosting, random forests, decision trees)
  • High levels of analytical thinking and problem solving
  • 5+ years' experience of working in a senior analytical role, developing data-driven solutions
  •  Modeling experience, particularly the development of predictive models / complex statistical models to drive business or customer decisions in financial services or consultancy organization
  • Demonstrated experience in management of large datasets to ensure integrity, quality and accuracy of data for analysis

If this sounds like you and you are keen to work with a leading Australian Business then please "APPLY NOW" or contact Peter Li on 03 9602 4222 for more information. 

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