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  • Posted: May 22, 2025
    Deadline: Not specified
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  • TFG (The Foschini Group) is a South African fashion lifestyle retailer & comprises of 22 fashion forward brands. Our range includes some of the leading fashion, home wear, sportswear, cellular and jewellery brands in the country, as well as a host of innovative financial services. TFG comprises of the following 22 exciting retail brands; @home, @homelivi...
    Read more about this company

     

    Data Scientist – Credit Optimisation

    Job Description: 

    This will involve (but is not limited to):

    • Develop, maintain, and track predictive models which are used in VAS campaigns to select the appropriate leads to maximise profit
    • Assist in the development of forecasting models using various statistical modelling and machine learning techniques 
    • Provide analytical support to the VAS business stakeholders by translating business problem into analytical problem
    • Derive business insight from analysing data and effectively present results 
    • Manage relationship with stakeholders and communicating effectively
    • Ensure appropriate statistical methodology and data mining / analytical techniques are used in the modelling process to deliver and deploy robust and effective models 
    • Extract data accurately and timeously - proficient in coding in SAS or SQL and experience with working with complex database structures 
    • Documentation of strategy (as well as test results), adhering to agreed documentation standards
    • Appropriately engage with internal and external stakeholders to improve the operating level of the portfolio
    • Research and implement contemporary machine learning techniques

    To take up this challenging position you should have: 

    • An honours degree in Mathematics or Statistics
    • At least 3-5 years’ experience in an analytical position providing predictive and prescriptive solutions to business
    • Experience in using data analysis software packages (SQL, SAS, R, Python)
    • Experience with machine learning techniques such as optimisation, logistic regression, linear regression, decision trees, K-means, cluster analysis etc
    • Good strategic and conceptual abilities
    • Excellent data analysis, analytical and problem-solving skills
    • Forecasting and reporting experience
    • High attention to detail
    • Excellent documentation and verbal communication skills 

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