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Data Scientist – Level 1 (Graduate Junior)

Sabenza IT & Recruitment

Job Location:

Johannesburg - South Africa

Monthly Salary: Not provided by the employer

Experience Required: 1Year

Posted: 18 July 2026 (30+ days ago)

Application Deadline: 15 October 2026

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

We are seeking a highly motivated and academically strong Data Scientist Level 1 to join a team of talented data professionals solving complex business challenges through data analytics and machine learning.

This opportunity is ideal for recent graduates or early-career professionals who have a strong foundation in mathematics statistics computer science engineering or a related STEM field and are eager to apply their knowledge to real-world problems.

We are specifically looking for high-performing graduates who have achieved excellent academic results from reputable universities and institutions.

What Youll Do

As a Data Scientist Level 1 you will work alongside experienced data scientists and engineers while developing your technical and problem-solving capabilities.

Your responsibilities will include:

Performing exploratory data analysis (EDA) to identify patterns trends and insights
Assisting in the design development and evaluation of machine learning models
Cleaning preparing and transforming data for analysis and modelling
Developing analytical solutions to solve business problems
Writing clean maintainable and well-documented Python code
Conducting statistical analysis and interpreting results
Presenting findings and recommendations clearly to technical and non-technical stakeholders
Collaborating with cross-functional teams on data-driven initiatives
Continuously learning and applying new techniques tools and methodologies

Requirements

Bachelors Degree (BSc BEng BCom Honours BSc Honours MSc or equivalent) in: Data Science Computer Science Statistics Mathematics Engineering Actuarial Science Physics Or another quantitative STEM discipline
Excellent academic record throughout university studies
Degree obtained from a recognised and reputable university or higher education institution
Strong results in mathematics statistics machine learning programming or related quantitative subjects
Solid understanding of data science and machine learning fundamentals
Proficiency in Python
Experience with libraries such as: Pandas NumPy Scikit-learn

Advantageous Skills

Exposure to machine learning projects through academic work internships personal projects or competitions
Experience with SQL and relational databases
Familiarity with cloud platforms such as AWS Azure or GCP
Exposure to TensorFlow PyTorch or other machine learning frameworks
Knowledge of data visualisation tools such as Power BI Tableau or similar
Participation in Kaggle competitions research projects or published academic work

Required Skills:

Proficiency in Python Experience with libraries such as: Pandas NumPy Scikit-learn Advantageous Skills Exposure to machine learning projects through academic work internships personal projects or competitions Experience with SQL and relational databases Familiarity with cloud platforms such as AWS Azure or GCP Exposure to TensorFlow PyTorch or other machine learning frameworks Knowledge of data visualisation tools such as Power BI Tableau or similar Participation in Kaggle competitions research projects or published academic work

Required Education:

Bachelors Degree (BSc BEng BCom Honours BSc Honours MSc or equivalent) in: Data Science Computer Science Statistics Mathematics Engineering Actuarial Science Physics Or another quantitative STEM discipline Excellent academic record throughout university studies Degree obtained from a recognised and reputable university or higher education institution Strong results in mathematics statistics machine learning programming or related quantitative subjects

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