Graduate Data Scientist

Network Recruitment; Johannesburg; On-site; ZAR 300,000 - 520,000; Full time

Job summary

Network Recruitment in Johannesburg is seeking an early-career Data Analyst to exploratively work with large datasets, clean and transform data, and help build robust analytics datasets and pipelines. You will apply Python, SQL, and Power BI to deliver actionable insights, create dashboards, and communicate findings to both technical and business stakeholders while learning from a collaborative team.

You will collaborate across analytics, engineering, and business partners to accelerate

Qualifications

• Bachelor’s degree in Data Science, Statistics, CS, Math, Economics, Finance or related field.
• Proficiency in Python with Pandas and Scikit-learn; SQL and reporting tools.
• Experience with Power BI and data visualization; knowledge of ML fundamentals.

Responsibilities

• Data Exploration & Preparation: Collect, clean, and transform large datasets from various sources to ensure quality and usability.
• Machine Learning & Analytics: Assist in building and testing models; contribute to feature engineering and model improvement.
• Reporting & Visualization: Create dashboards and reports using Power BI; translate analyses into actionable insights.
• Collaboration & Innovation: Partner with analysts, engineers, and business teams to meet data needs and drive automation.
• Continuous Learning: Stay updated with new tools and industry trends.

Skills

Python

SQL

Power BI

Excel

Data visualization

Machine learning basics

Education

Bachelor's degree in a quantitative field

Tools

Git

Cloud platforms

Data engineering concepts

Job description

Key Duties and Responsibilities

Data Exploration & Preparation

Collect, clean, and transform large datasets from various sources. Work with both structured and unstructured data to ensure quality, consistency, and usability. Support the development and maintenance of data pipelines and analytical datasets.

Machine Learning & Analytics

Assist in building and testing machine learning models. Contribute to feature engineering and model improvement initiatives. Support the implementation of anomaly detection and predictive analytics solutions. Evaluate model performance and document key findings.

Reporting & Visualisation

Create interactive dashboards and reports using Power BI. Translate complex analyses into clear, actionable business insights. Present findings to both technical and non-technical stakeholders.

Collaboration & Innovation

Partner with analysts, engineers, and business teams to understand data requirements. Contribute to automation and process improvement projects. Help develop solutions that improve operational efficiency and decision-making.

Continuous Learning

Stay up to date with emerging tools, technologies, and industry trends. Continuously explore new approaches to analytics and machine learning.

Essential Skills, Qualifications & Experience

Qualifications

Bachelor's degree in: Data Science, Statistics, Computer Science, Mathematics, Economics, Finance or a related quantitative field. Recent graduates and candidates with up to 2 years' experience are encouraged to apply.

Technical Skills

Working knowledge of Python (Pandas, Scikit-learn, Matplotlib or similar libraries). Familiarity with SQL and basic database concepts. Experience with Power BI, Excel, or other reporting tools. Understanding data analysis and machine learning fundamentals.

Advantageous Experience

Exposure to Git or version control tools. Knowledge of cloud platforms and data engineering concepts. Experience with financial or transactional data.

Why Join Us?

Work on real business problems using modern data science techniques. Gain exposure to machine learning, financial analytics, business intelligence, and automation. Collaborate with experienced professionals in a supportive learning environment. Accelerate your professional growth through practical, hands-on experience. Build a strong foundation for a long-term career in data science and analytics.

If you are eager to learn, thrive on problem-solving, and want to apply your technical skills in a fast‑paced professional environment, we would love to hear from you.