Data Scientist – Predictive Modelling GURU – Johannesburg/ Hybrid – R850k per annum

We invest in and operate high-potential businesses in markets with historically low levels of client service and trust, we currently searching for a Data Scientist / Quantitative Analyst/  Predictive Modelling to be part of the team.

The incumbent be responsible for maintaining, re-calibrating, developing and deploying new predictive and prescriptive models

Requirements:

  • 4+ years’ experience
  • Honour’s degree in a mathematical, statistical or actuarial field
  • Python
  • SAS (Base, Enterprise Guide and Enterprise Miner) a PLUS
  • Excel
  • Manage all aspects of current machine learning models.
  • Maintain and re-calibrate current scorecards and/or predictive models
  • Develop new predictive models
  • Utilises advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders
  • Identifies trends, patterns, relationships and discrepancies in data and determines additional data needed to support insight. Processes, cleanses, and verifies the integrity of data used for analysis
  • Identifying, interpreting & explaining the factors giving rise to specific business outcomes
  • Predicting & forecasting probable future business outcomes
  • Identifying key factors of business operations to transform/eliminate/introduce in order to improve business outcome
  • Develop, maintain and refine advanced mathematical and statistical models pertaining to various aspects of the business
  • Apply various supervised and un-supervised learning techniques to various problems
  • Predictive and Prescriptive modelling

Reference Number for this position is GZ59760 which is a permanent position based in Johannesburg offering a cost to company salary of R850k per annum negotiable on experience and ability. Contact Garth on garthz@e-merge.co.za or call him on 011 463 3633 to discuss this and other opportunities.

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