Data Scientist

Standardbankgroup; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Standardbankgroup is seeking a data analytics professional to assist in applying data mining and statistical analyses to large structured and unstructured datasets. The role focuses on modeling business problems and turning data into insights to support sound decision-making.

The candidate should have a First Degree in Information Technology, 3–4 years of experience with unstructured data, ETL, data flows, and proficiency in data science toolkits (SAS, R, SPSS) and visualization (Power BI,

Qualifications

• Experience with unstructured data (streams, images).
• Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
• Experience with data mining to discover patterns from large datasets.
• Experience with common data science toolkits (SAS, R, SPSS, etc.).
• Experience with data visualization tools (Power BI, Tableau).

Responsibilities

• Assist in applying data mining techniques and conduct statistical analysis to large data sets.
• Model business problems, uncover insights and opportunities to guide decisions.

Skills

Data Monetisation

Data & Analytics

Data Analysis

Project management

Unstructured data experience

Education

First Degree in Information Technology

Tools

SAS

R

SPSS

Power BI

Tableau

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.

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.)

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interacting with People
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working

Technical Competencies:

• Data Analysis
• Database Administration
• Data Integrity
• Knowledge Classification
• Research & Information Gathering