Data Scientist – Credit Optimisation

TFG (The Foschini Group); Wes-Kaap; On-site; ZAR 500,000 - 800,000; Full time

Job summary

A leading company in financial services is seeking a dynamic individual to join their Credit optimisation and VAS analytics department. The role involves developing analytical solutions, predictive modeling, and supporting business stakeholders with data-driven insights. Ideal candidates will have an honours degree in Mathematics or Statistics and 3-5 years of relevant experience in analytics and machine learning techniques.

Qualifications

• 3-5 years’ experience in an analytical position providing predictive and prescriptive solutions.
• Experience with machine learning techniques like logistic regression, decision trees.
• Excellent documentation and verbal communication skills.

Responsibilities

• Develop and track predictive models for VAS campaigns.
• Provide analytical support by translating business problems into analytical problems.
• Manage relationships with stakeholders and ensure effective communication.

Skills

Data analysis

Problem-solving

Communication

Attention to detail

Education

Honours degree in Mathematics or Statistics

Tools

SQL

SAS

R

Python

Job description

The Opportunity

JOB DESCRIPTION

A challenging opportunity is available within the Credit optimisation and VAS analytics department of TFG Financial Services. We are looking for a dynamic, highly motivated individual to develop analytical solutions to business problems using state of the art techniques. The successful applicant will develop and oversee the VAS take-up strategy using descriptive and predictive analytics while working closely with the VAS business stakeholders

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
  
  

Preference will be given, but not limited to, candidates from designated groups in terms of the Employment Equity Act.