Scientist, Data

Standard Bank Of South Africa Limited; Johannesburg; On-site; ZAR 400 000 - 600 000; Full time

Job summary

A leading financial services provider is looking for a Data Analyst to assist in applying data mining techniques and conduct statistical analysis on large datasets. The role involves modeling business problems and working closely with clients and technology teams to derive insights that inform business decisions. Candidates should have a solid background in data analytics and visualization tools, along with experience in software engineering.

Qualifications

• 3-4 years in Data Monetisation, Data & Analytics.
• Experience with unstructured data and data flows.
• Proven development experience in software engineering.

Responsibilities

• Assist in applying data mining techniques and conduct statistical analysis.
• Model business problems and discover insights through various techniques.
• Work closely with clients, data, and technology teams.

Skills

Data Analysis

Data Mining

Statistical Analysis

Machine Learning

Data Visualization

Education

First Degree in Information Studies or Information Technology

Tools

SAS

R

SPSS

Power BI

Tableau

Job description

Business Segment : Personal & Private Banking

Assist in applying data mining techniques and conduct statistical analysis on large, structured, and unstructured data sets to understand and analyze phenomena.

Model business problems, discover insights and opportunities through statistical, algorithmic, machine learning, and visualization techniques. Work closely with clients, data, and technology teams to turn data into critical information used to make sound business decisions.

Qualifications

1. Minimum Qualifications :
2. Type of Qualification: First Degree
3. Field of Study: Information Studies or Information Technology
4. Experience Required: 3-4 years in Data Monetisation, 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 data science toolkits such as SAS, R, SPSS, etc.

Experience with data visualization tools like Power BI, Tableau, etc.

3-4 years of 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.

Experience in building models such as credit scoring, propensity models, churn prediction, etc.