Tech Job Opportunities | Manager, Data Science (Ref: 80391883A-0002)

Job Title:	Manager, Data Science
Company:	Standard Bank
Job Reference:	80391883A-0002
Category:	Bank
Location:	Johannesburg, ZA
Employment Type:	Full Time
Date Posted:	2025-03-26
Closing Date:	2025-05-01
Salary:	ZAR 124000 - 236130 per year

Manager, Data Science - Job Description

Apply for Tech Job Opportunities | Manager, Data Science (Ref: 80391883A-0002)

Introduction

Apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, workingclosely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.

About the Company

Standard Bank is a licensed financial services provider in terms of the Financial Advisory and Intermediary Services Act and a registered credit provider in terms of the National Credit Act, registration number NCRCP15

Responsibilities

Behavioural Competencies

Adopting Practical

Approaches

Articulating Information

Challenging Ideas

Examining Information

Exploring Possibilities

Technical Competencies

Data Analysis

Database Administration

Data Integrity

Knowledge Classification

Research & Information Gathering

Required Qualifications

Completed Matric

Information Studies Degree

Information Technology Degree

Proficiency in application and web development.

Structured and Unstructured Query languages e.g. SQL, Qlikview; Tableau; SSIS SSRS, Python JSON , C#, Java, C++, HTML

Experience

5 - 7 years Proven development experience in software and software engineering. Understanding of financial services data processes, systems, and products.
Experience in technical business intelligence.
Knowledge of IT infrastructure and data principles.
Project management experience. Exposure to governance and regulatory matters as it relates to data. Experience in building models (credit scoring, propensity models, churn, etc.).
5 - 7 years' Experience in working with unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data.
Experience with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualization tools, such as Power BI, Tableau, etc.