Job Description

DATA SCIENTIST (Credit Optimisation) N/Subs, Cape TownR40 000 R60 000 Per Month NegotiableHighly reputable Global concern is in search of a dynamic, highly motivated individual to develop analytical solutions to business problems using state of the art techniquesMain Purpose of the role:You will play a critical role in their Credit Optimisation team by being responsible for developing and overseeing the VAS take-up strategy using descriptive and predictive analytics while working closely with the VAS analytics department and business stakeholders.Key Duties & Responsibilities:

• 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:

Qualification, Experience & Skills required:

• An honours degree in Mathematics or Statistics or Data Science

• 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

Preference will be given, but not limited to, candidates from designated groups in terms of the Employment Equity Act.To apply for this role, please forward a detailed and updated copy of your CV to Lameez Herborn: and Huda Williams:

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