Junior Data Scientist

Correlate Resources

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  • DATA SCIENCE PRODUCT DEVELOPMENT: Machine Learning & Advanced Modelling Solution
  • CUSTOMER / MARKETING / LOYALTY USE CASES: Exciting pipeline of complex use cases
  • JUNIOR DATA SCIENTIST OPP: Massive opportunity for career development and growth
Our client is an Australian market leader in the financial services sector who boast some of the industry's largest and most complex data assets. Employing the industry's brightest analytical minds they offer a hot bed for innovation and offer unparalleled opportunities for career development and growth. Due to the ongoing success of the team a brand new position has been created for a Junior Data Scientist to join the Sydney based team. With the key focus on supporting the development of a cutting edge customer recommendation engines the responsibilities of this role will include: 
  • Working under the supervision of a Lead Data Scientist to understand project requirements and best practice methodologies to be applied. 
  • Managing, manipulating and automating production of complex data sets in a true big data environment leveraging skills in Hadoop, Spark, Scala, R, Python and SQL.
  • Deliver and automate a range of bespoke Data Science, Machine Learning, Statistical Modelling led projects leveraging techniques that may include; Gradient Boosting / XGBoost, Neural Networks,  Recommendation / Decision / Scoring Engines, Predictive Modelling, Linear/Logistic Regression, Attribution Modelling, Customer Segmentation, Unsupervised & Supervised Learning, Bayesian Statistics, Principal Component Analysis, etc.   
The successful applicant will come from a strong background working in a senior position of a high profile Customer Loyalty driven Data Science environment and will be able to demonstrate:
  • A strong academic background (Phd or Masters )in a highly relevant discipline Computer Science, Data Science, Statistics, Engineering etc. 
  • Commercial exposure to working in Data Science building a range of complex models relating to customer marketing strategy (Acquisition, retention, growth, cross sell, churn), customer segmentation, next best action decision engines and campaign analytics.    
  • Strong stakeholder engagement and relationship management skills.
  • Strong technical ability to manage, manipulate and automate production of complex data sets in a true big data environment, leveraging skills in Hadoop, Spark, Scala, R, Python/PySpark and SQL.
  • A strong appreciation of a range of Data Science, Machine Learning, Statistical Modelling techniques that may include; Gradient Boosting / XGBoost, Neural Networks,  Recommendation / Decision / Scoring Engines, Predictive Modelling, Linear/Logistic Regression, Attribution Modelling, Customer Segmentation, Unsupervised & Supervised Learning, Bayesian Statistics, Principal Component Analysis, etc.
  • Enthusiastic Kaggle competitors will be looked upon favourably. 
To apply for this position please click on the 'Apply' button below or you're resume and cover note to ben@correlateresources.com