Scientist, Data

Location:

ZA, GP, Roodepoort, 4 Ellis Street

Business Segment:
Insurance & Asset Management

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.

Type of

Qualification:

First Degree
Field of Study: Information Studies
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

Standard Bank Group is committed to fair and inclusive employment practices. We aim to build a workforce that reflects the diversity of the communities we serve and welcome applications from candidates of all backgrounds, including people with disabilities. We strive to create an environment where everyone has an equal opportunity to contribute and grow.