Data Scientist

Postbank Ltd; Pretoria; On-site; ZAR 600 000 - 850 000; Full time

Job summary

A leading banking institution in Pretoria is seeking an experienced Data Scientist to enhance their analytical capabilities. The successful candidate will focus on building advanced machine learning models, mentoring junior staff, and applying data analysis to solve complex challenges. Applicants should have a degree in a relevant field and significant experience with programming languages like Python and SQL. This position offers opportunities for professional growth and contribution to a data-centric culture.

Qualifications

• At least 5 years of experience in a senior data position.
• Solid understanding of machine learning techniques like regression and clustering.
• Proficiency in programming languages such as Python, R, or Scala.

Responsibilities

• Apply data mining techniques and build high-quality machine learning models.
• Develop predictive models to enhance strategic advantage.
• Collaborate with teams to leverage data science in decision-making.

Skills

Data analysis methods

Machine learning models

Statistical analysis

Problem-solving

Communication

Education

Degree in Computer Science, Statistics, Applied Mathematics, or related field

Tools

Python

R

SQL

PowerBI

NoSQL databases

Job description

Job Location : Pretoria, Gauteng, South Africa Application Deadline : February 06, 2026

Overview

Purpose of the Job

We are seeking a highly skilled and experienced Data Scientist to join our dynamic team in the banking industry. The successful candidate will provide expertise on data analysis methods, build advanced machine learning models, and mentor junior team members. This role requires a deep understanding of data science techniques and the ability to apply them to solve complex business challenges.

Responsibilities

• Data Analysis and Modeling: Apply data mining techniques, statistical analysis, and build high-quality machine learning models.
• Develop predictive and prescriptive models to enhance strategic and competitive advantage.
• Integrate machine learning models with business decisions to improve products, sales, and customer experience.

• Collaboration and Mentorship: Partner with internal teams and third-party data providers to expand available datasets.
• Provide technical mentoring and coaching to junior data scientists.
• Collaborate with business units to leverage data science in decision-making processes.

• Innovation and Technology: Explore opportunities in disruptive new technologies to foster a data-centric culture.
• Solve key challenges related to data linkage and digitization.

• Governance and Compliance: Ensure adherence to data risk management standards and policies.
• Play an active role in the creation, implementation, and maintenance of robust model governance.

• Community Building: Actively contribute to the creation of a data science community within the organization by sharing knowledge and skills.

Qualifications, Knowledge and Experience

Qualification:

• Degree in Computer Science, Statistics, Applied Mathematics, or a related field.

Experience:

• Proven experience as a Data Scientist or similar role, with at least 5 years in a senior data position.
• Solid understanding of machine learning techniques and algorithms, such as regression, classification, clustering, and deep learning.

Knowledge and understanding:

• Proficiency in programming languages such as Python, R, or Scala.
• Experience with SQL and NoSQL databases.
• Experience with PowerBI and other data visualization tools.

Soft skills

• Strong problem-solving skills and the ability to work on complex projects.
• Excellent communication and collaboration skills.