Data Scientist

Standard Bank Group; Johannesburg; On-site; ZAR 5,500,000 - 10,000,000; Full time

Job summary

Standard Bank Group is seeking a data and analytics professional to apply data mining techniques to large datasets and develop insights that support strategic decisions. You will work with unstructured data, ETL workflows, and modelling approaches within a finance-focused environment.

The role requires experience with data visualization tools such as Power BI or Tableau, plus collaboration with IT and business teams to deliver impactful analytics solutions.

Qualifications

• First Degree in Information Technology.
• Experience with data monetisation and analytics.
• Experience with unstructured data and ETL processing.
• Knowledge of data science toolkits (SAS, R, SPSS).

Responsibilities

• Assist in applying data mining techniques to large datasets to understand phenomena.
• Model business problems using statistical, algorithmic, ML and visualisation methods for decision support.
• Collaborate with clients, data and technology teams to turn data into actionable insights.
• Support data architecture and BI initiatives related to financial services data.

Skills

Data Monetisation

Data Analytics

Unstructured Data

ETL & Processing

Modeling & Algorithms

Visualization

Team Collaboration

Education

First Degree in Information Technology

Tools

SAS

R

SPSS

Power BI

Tableau

Job description

• Business Segment: Insurance & Asset Management

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions.

Qualifications

Type of Qualification: First Degree

Field of Study: Information Technology

Experience Required

Data Monetisation

Data & Analytics

3-4 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 visualisation tools, such as Power BI, Tableau, etc.

3-4 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. Experience in building models (credit scoring, propensity models, churn, etc.)

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interacting with People
• Interpreting Data
• Producing Output
• Providing Insights
• Team Working
• Data Analysis
• Database Administration
• Data Integrity
• Knowledge Classification
• Research & Information Gathering