Data Scientist - Predictive Modelling Guru
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:- Four+ years’ experience
- Honour’s degree in a mathematical, statistical or actuarial field
- Python
- SAS (Base, Enterprise Guide and Enterprise Miner) is 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 and explaining the factors giving rise to specific business outcomes
- Predicting and 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 unsupervised 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
R850,000 per annum negotiable on experience and ability. Contact Garth at
az.oc.egrem-e@zhtrag or call him on
011 463 3633 to discuss this and other opportunities.
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www.e-merge.co.za for more great positions.
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Posted on 23 Sep 12:39, Closing date 22 Nov