Scientist, Data

Standard Bank Group; Johannesburg; On-site; ZAR 400,000 - 650,000; Full time

Job summary

A leading Africa-focused financial services group in South Africa is seeking a skilled data analyst. The candidate will apply data mining techniques and conduct statistical analysis on both structured and unstructured data to provide insights. The role requires strong experience (5-7 years) in data handling along with proficiency in tools like SAS and Tableau. This opportunity offers a chance to work in a dynamic environment, driving meaningful impact in the financial sector.

Qualifications

• Completed Matric.
• 5 - 7 years experience in data handling.
• Experience in working with unstructured data.

Responsibilities

• Apply data mining techniques to analyze phenomena.
• Model complex business problems using various techniques.
• Execute intelligent automation and predictive modeling.

Skills

Data Analysis

Database Administration

Data Integrity

Knowledge Classification

Research & Information Gathering

Education

Information Studies Degree

Information Technology Degree

Tools

SAS

R

SPSS

Power BI

Tableau

Job description

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

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, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.

Qualifications

• Completed Matric
• Information Studies Degree
• Information Technology Degree

Experience

• 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 visualisation tools, such as Power BI, Tableau, etc.
• 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.).

Additional Information

Behavioral 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