Graduate Data Scientist

Teraco

Verified

Specific city not specified

Gauteng, ZA

Featured

Posted Date:

12 May 2026

Closing Date:

31 May 2026

Tech

Grad Programme

Entry Level

Office

Market Related

Back

Graduate Data Scientist

Teraco

Verified

Specific city not specified

Gauteng, ZA

Featured

Posted Date:

12 May 2026

Closing Date:

31 May 2026

Tech

Grad Programme

Entry Level

Office

Market Related

Back

Graduate Data Scientist

Teraco

Specific city not spe…

Gauteng, ZA

Posted Date:

12 May 2026

Closing Date:

31 May 2026

Tech

Grad Programme

Entry Level

Office

Market Related

Back

Graduate Data Scientist

Teraco

Specific city not specified

Gauteng, ZA

Posted Date:

12 May 2026

Closing Date:

31 May 2026

Tech

Grad Programme

Entry Level

Office

Market Related

Back

1 Programme Overview

eraco is looking for a motivated Data Scientist Graduate to join its experienced team in Gauteng. This opportunity is ideal for a driven and analytically minded graduate who is ready to work across Data Engineering, Artificial Intelligence, and Business Intelligence functions.

This 1–2 year contract is designed to provide real-world exposure to building data pipelines, deploying AI models, and delivering actionable business insights — all within a professional and collaborative environment that values continuous learning and innovation.

1 Programme Overview

2 Minimum Requirements

Applicants must have:

Degree in Data Science, Statistics, Computer Science or a related field
Experience with data analysis and machine learning using Python, R or similar tools
Experience with database querying using SQL
Experience with data engineering concepts
Experience with machine learning concepts and algorithms
Problem-solving mindset and strong attention to detail
Excellent communication and ability to simplify complex concepts

NB: Python proficiency is strongly preferred — candidates with hands-on Python coding experience will be prioritised in the shortlisting process.

2 Minimum Requirements

Applicants must have:

Degree in Data Science, Statistics, Computer Science or a related field
Experience with data analysis and machine learning using Python, R or similar tools
Experience with database querying using SQL
Experience with data engineering concepts
Experience with machine learning concepts and algorithms
Problem-solving mindset and strong attention to detail
Excellent communication and ability to simplify complex concepts

NB: Python proficiency is strongly preferred — candidates with hands-on Python coding experience will be prioritised in the shortlisting process.

2 Minimum Requirements

Applicants must have:

Degree in Data Science, Statistics, Computer Science or a related field
Experience with data analysis and machine learning using Python, R or similar tools
Experience with database querying using SQL
Experience with data engineering concepts
Experience with machine learning concepts and algorithms
Problem-solving mindset and strong attention to detail
Excellent communication and ability to simplify complex concepts

NB: Python proficiency is strongly preferred — candidates with hands-on Python coding experience will be prioritised in the shortlisting process.

2 Minimum Requirements

Applicants must have:

Degree in Data Science, Statistics, Computer Science or a related field
Experience with data analysis and machine learning using Python, R or similar tools
Experience with database querying using SQL
Experience with data engineering concepts
Experience with machine learning concepts and algorithms
Problem-solving mindset and strong attention to detail
Excellent communication and ability to simplify complex concepts

NB: Python proficiency is strongly preferred — candidates with hands-on Python coding experience will be prioritised in the shortlisting process.

3 Key Responsibilities

Successful applicants will be responsible for:

Data Engineering:

Designing and building scalable data pipelines
Incorporating best practices for managing big data — high volume, high velocity and high variety

Artificial Intelligence:

Building and deploying AI models in production environments
Implementing MLOps best practices across the full model lifecycle — data preparation, training, feature selection, evaluation, deployment, monitoring and maintenance

Business Intelligence:

Delivering actionable insights from complex data sets
Building insightful data visualisations to communicate findings clearly and effectively to stakeholders

NB: This role spans three disciplines — Data Engineering, AI and Business Intelligence — candidates must demonstrate competence or strong interest across all three areas.

3 Key Responsibilities

Successful applicants will be responsible for:

Data Engineering:

Designing and building scalable data pipelines
Incorporating best practices for managing big data — high volume, high velocity and high variety

Artificial Intelligence:

Building and deploying AI models in production environments
Implementing MLOps best practices across the full model lifecycle — data preparation, training, feature selection, evaluation, deployment, monitoring and maintenance

Business Intelligence:

Delivering actionable insights from complex data sets
Building insightful data visualisations to communicate findings clearly and effectively to stakeholders

NB: This role spans three disciplines — Data Engineering, AI and Business Intelligence — candidates must demonstrate competence or strong interest across all three areas.

3 Key Responsibilities

Successful applicants will be responsible for:

Data Engineering:

Designing and building scalable data pipelines
Incorporating best practices for managing big data — high volume, high velocity and high variety

Artificial Intelligence:

Building and deploying AI models in production environments
Implementing MLOps best practices across the full model lifecycle — data preparation, training, feature selection, evaluation, deployment, monitoring and maintenance

Business Intelligence:

Delivering actionable insights from complex data sets
Building insightful data visualisations to communicate findings clearly and effectively to stakeholders

NB: This role spans three disciplines — Data Engineering, AI and Business Intelligence — candidates must demonstrate competence or strong interest across all three areas.

3 Key Responsibilities

Successful applicants will be responsible for:

Data Engineering:

Designing and building scalable data pipelines
Incorporating best practices for managing big data — high volume, high velocity and high variety

Artificial Intelligence:

Building and deploying AI models in production environments
Implementing MLOps best practices across the full model lifecycle — data preparation, training, feature selection, evaluation, deployment, monitoring and maintenance

Business Intelligence:

Delivering actionable insights from complex data sets
Building insightful data visualisations to communicate findings clearly and effectively to stakeholders

NB: This role spans three disciplines — Data Engineering, AI and Business Intelligence — candidates must demonstrate competence or strong interest across all three areas.

4 What You Will Gain

Employees will benefit from:

1–2 years of structured hands-on experience across Data Engineering, AI and Business Intelligence
Real-world exposure to big data management, MLOps and data visualisation
Market-related remuneration for the duration of the contract
Mentorship and professional development in a data-driven environment
A strong and highly marketable portfolio of data science skills for your career

Tip: Experience across Python, SQL, MLOps and data visualisation tools gained in this role will make you one of the most competitive data science candidates in the South African job market!

4 What You Will Gain

Employees will benefit from:

1–2 years of structured hands-on experience across Data Engineering, AI and Business Intelligence
Real-world exposure to big data management, MLOps and data visualisation
Market-related remuneration for the duration of the contract
Mentorship and professional development in a data-driven environment
A strong and highly marketable portfolio of data science skills for your career

Tip: Experience across Python, SQL, MLOps and data visualisation tools gained in this role will make you one of the most competitive data science candidates in the South African job market!

4 What You Will Gain

Employees will benefit from:

1–2 years of structured hands-on experience across Data Engineering, AI and Business Intelligence
Real-world exposure to big data management, MLOps and data visualisation
Market-related remuneration for the duration of the contract
Mentorship and professional development in a data-driven environment
A strong and highly marketable portfolio of data science skills for your career

Tip: Experience across Python, SQL, MLOps and data visualisation tools gained in this role will make you one of the most competitive data science candidates in the South African job market!

4 What You Will Gain

Employees will benefit from:

1–2 years of structured hands-on experience across Data Engineering, AI and Business Intelligence
Real-world exposure to big data management, MLOps and data visualisation
Market-related remuneration for the duration of the contract
Mentorship and professional development in a data-driven environment
A strong and highly marketable portfolio of data science skills for your career

Tip: Experience across Python, SQL, MLOps and data visualisation tools gained in this role will make you one of the most competitive data science candidates in the South African job market!

5 Application Process

How To Apply:

Apply via the official recruitment portal
Use Reference Number: Grad_DSJB1
Submit your CV and all certified supporting documents including academic transcripts
Click the Apply Button — you will be redirected to the official application page

Tip: No closing date is specified — but make sure you apply before the end of this month 31 May 2026 to avoid missing out!

5 Application Process

How To Apply:

Apply via the official recruitment portal
Use Reference Number: Grad_DSJB1
Submit your CV and all certified supporting documents including academic transcripts
Click the Apply Button — you will be redirected to the official application page

Tip: No closing date is specified — but make sure you apply before the end of this month 31 May 2026 to avoid missing out!

5 Application Process

How To Apply:

Apply via the official recruitment portal
Use Reference Number: Grad_DSJB1
Submit your CV and all certified supporting documents including academic transcripts
Click the Apply Button — you will be redirected to the official application page

Tip: No closing date is specified — but make sure you apply before the end of this month 31 May 2026 to avoid missing out!

5 Application Process

How To Apply:

Apply via the official recruitment portal
Use Reference Number: Grad_DSJB1
Submit your CV and all certified supporting documents including academic transcripts
Click the Apply Button — you will be redirected to the official application page

Tip: No closing date is specified — but make sure you apply before the end of this month 31 May 2026 to avoid missing out!

6 Disclaimer

Spanisam lists jobs in good faith as an information platform only. We are not responsible for hiring decisions made by the employer. Always verify through official channels.

6 Disclaimer

Spanisam lists jobs in good faith as an information platform only. We are not responsible for hiring decisions made by the employer. Always verify through official channels.

6 Disclaimer

Spanisam lists jobs in good faith as an information platform only. We are not responsible for hiring decisions made by the employer. Always verify through official channels.

6 Disclaimer

Spanisam lists jobs in good faith as an information platform only. We are not responsible for hiring decisions made by the employer. Always verify through official channels.

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Spanisam is 100% free for job seekers, and no fees are allowed at any stage of the application process. Any request for payment should be reported to us immediately.

Spanisam does not charge job seekers any fees. If anyone asks you to pay to apply for a job, report it to us immediately.

Spanisam is 100% free for job seekers, and no fees are allowed at any stage of the application process. Any request for payment should be reported to us immediately.

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The data on this page gets updated

Hello Mzansi • June 27, 2026 • 13:53:23

Report An Issue

The data on this page gets updated

Hello Mzansi • June 27, 2026 • 13:53:23