Scientist, Data

Job Overview
Business Segment: Personal & Private Banking
Location: Johannesburg, ZA
Job Type: Full-time
Job Ref ID: 80435829A-0001
Date Posted: 11/11/2024

Job Description

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

Qualifications

Minimum Qualifications
Type of Qualification: First Degree
Field of Study: Information Studies or Information Technology

Experience Required

• 3-4 years experience in Data Monetization and Data & Analytics
• 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
• Implementing standard and proprietary algorithms for handling and processing data
• Experience with common data science toolkits, such as SAS, R, SPSS, etc.
• Experience with data visualization tools, such as Power BI, Tableau, etc.
• 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

Behavioral Competencies:
Adopting Practical Approaches, Articulating Information, Challenging Ideas, Checking Details, Examining Information, Exploring Possibilities, Interacting with People, Interpreting Data, Meeting Timescales, Producing Output, Providing Insights, Team Working

Technical Competencies:
Data Analysis, Data Integrity, Database Administration, Knowledge Classification, Research & Information Gathering

Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any form of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or TransactionFraudOpsSA@standardbank.co.za