Scientist, Data

Standard Bank Group; Roodepoort; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

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

Job summary

Standard Bank Group in Roodepoort, Gauteng, seeks an experienced data analytics professional to apply advanced data mining and statistical analysis to large datasets. You will model business problems, derive insights, and collaborate with clients, data and technology teams to turn data into information for sound decisions.

A background in information studies or IT is preferred, with 3–4 years in data analytics and familiarity with Power BI/Tableau.

Qualifications

• Experience 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.
• Experience with common data science toolkits, such as SAS, R, SPSS, etc.
• Experience with data visualization tools, such as Power BI, Tableau, etc.
• Experience in building models (credit scoring, propensity models, churn).

Responsibilities

• Apply data mining and statistical analysis to large structured and unstructured datasets.
• Model business problems, uncover insights and opportunities to support decisions.
• Collaborate with clients, data and technology teams to turn data into critical information.

Skills

Data monetisation

Data analytics

Unstructured data

Data mining

ETL processing

Statistical analysis

SAS

R

SPSS

Power BI

Tableau

Credit scoring models

Propensity models

Churn models

Software development

Project management

Data architecture

Education

First Degree in Information Studies

First Degree in Information Technology

Tools

SAS

R

SPSS

Power BI

Tableau

Job description

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.

Qualifications

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.)

Additional Information

• 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

Our Commitment to Diversity, Equity and Inclusion

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.