Data Scientist

Network Recruitment; Johannesburg; On-site; ZAR 60 000 - 90 000; Full time

Job summary

A recruitment agency in Johannesburg is seeking a Data Scientist to solve real business problems using data. The individual will work throughout the data lifecycle, including building and deploying statistical and machine learning models using Python, SAS, and SQL. A strong educational background in a quantitative field and experience in cloud platforms and data visualization tools are essential. This role offers an opportunity to influence outcomes and drive smarter decisions in a consumer-focused environment.

Qualifications

• Strong, hands-on experience with Python, SAS, and SQL.
• Proven experience building and deploying machine learning and statistical models.
• Solid data preparation, data-wrangling, and analytical skills.
• Exposure to cloud platforms and large-scale analytics environments.

Responsibilities

• Build, deploy, and maintain statistical and machine learning models.
• Design and implement AI-driven solutions for complex challenges.
• Work across the full data lifecycle: sourcing, cleaning, and analyzing datasets.
• Translate business problems into structured data-driven solutions.
• Create clear visualizations and dashboards to communicate insights.

Skills

Python

SAS

SQL

Data visualization

Machine learning

Data wrangling

Education

Honours, Master’s, or PhD in a quantitative field

Tools

AWS

SAS Viya

Job description

We are looking for a Data Scientist who loves solving real business problems and turning data into practical, high‑impact solutions. This role sits within a hands‑on analytics team that partners closely with the business to drive smarter decisions across a fast‑paced, consumer‑focused environment.

This is not a “model‑only” role. You will work across the full data lifecycle — from understanding the business question to deploying scalable machine learning and statistical models that make a tangible difference.

What You’ll Be Doing:

• Build, deploy, and maintain statistical and machine learning models using Python, SAS, and SQL
• Design and implement AI‑driven solutions to solve complex commercial and operational challenges
• Work across the full data lifecycle: sourcing, cleaning, preparing, and analyzing large and complex datasets
• Translate ambiguous business problems into structured, data‑driven solutions
• Create clear visualizations and dashboards to communicate insights and recommendations
• Work within modern analytics platforms and cloud environments (e.g. AWS, SAS Viya)
• Collaborate closely with business stakeholders to ensure solutions are practical, relevant, and impactful

What We’re Looking For:

Your Technical Toolkit

• Strong, hands‑on experience with Python, SAS, and SQL
• Proven experience building and deploying ML and statistical models
• Solid data preparation, data‑wrangling, and analytical skills
• Exposure to cloud platforms and large‑scale analytics environments
• Experience using data visualization tools to tell a clear story

Your Academic Foundation

• Honours, Master’s, or PhD in a quantitative field (e.g. Statistics, Mathematics, Engineering, Economics, Data Science)
• Strong theoretical understanding of statistics and modelling — knowing why a model works, not just how to run it

Apply Now

This role is designed for a professional who wants to influence outcomes, challenge assumptions, and lead through analysis — not just execute tasks.