Graduate Data Specialists

Network Finance; Randburg; On-site; ZAR 480,000 - 640,000; Full time

Job summary

Network Finance is seeking a data scientist to design and build data pipelines, models, and analytical frameworks that turn raw data into actionable insights.

You will conduct exploratory and predictive analyses to uncover trends, apply scientific methods to test hypotheses, and collaborate with engineers, analysts, and business teams to deliver real-world impact.

Qualifications

• A degree in Data Science, Computer Science, Engineering, Statistics, or related field.
• Strong analytical and problem-solving skills with a scientific mindset.
• Technical aptitude (Python, R, SQL, or similar) and eagerness to learn.
• Ability to communicate insights clearly to both technical and non-technical audiences.
• Curiosity, creativity, and drive to experiment with new approaches.

Responsibilities

• Design and build data pipelines, models, and analytical frameworks.
• Conduct exploratory and predictive analysis to uncover trends and opportunities.
• Apply scientific methods to test hypotheses and validate insights.
• Collaborate with engineers, analysts, and business teams to deliver real-world impact.

Skills

Data analysis

Statistical modeling

Machine learning

SQL

Education

Data Science / Computer Science / Engineering / Statistics degree

Tools

Python

R

SQL

Job description

Key Responsibilities:

• Design and build data pipelines, models, and analytical frameworks
• Conduct exploratory and predictive analysis to uncover trends and opportunities
• Apply scientific methods to test hypotheses and validate insights
• Collaborate with engineers, analysts, and business teams to deliver real-world impact

Job Experience and Skills Required:

• A degree in Data Science, Computer Science, Engineering, Statistics, or related field
• Strong analytical and problem-solving skills with a scientific mindset
• Technical aptitude (Python, R, SQL, or similar) and eagerness to learn
• Ability to communicate insights clearly to both technical and non-technical audiences
• Curiosity, creativity, and drive to experiment with new approaches