Junior Data Scientist Network IT Job in Johannesburg 2026 | Graduate Financial Analytics Opportunity

Junior Data Scientist Network IT Job in Johannesburg 2026

Graduates looking to begin a rewarding career in data science have an exciting opportunity available at Network IT. The recruitment company is seeking a Junior Data Scientist to join a leading financial analytics organisation based in Johannesburg North. Junior Data Scientist Network

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This permanent full-time position offers recent graduates and junior professionals the opportunity to work on real-world financial projects involving fraud detection, client behaviour analysis, machine learning, business intelligence, and data-driven decision-making.

Candidates with strong analytical abilities and foundational technical skills in Python, SQL, and Power BI are encouraged to apply.


Junior Data Scientist Network Career Overview

PositionJunior Data Scientist
Recruitment CompanyNetwork IT
Job TypePermanent
Employment TypeFull-Time
LocationJohannesburg North, Gauteng
IndustryFinancial Analytics
Experience Required0–2 Years
Reference NumberITE007577-DAP-2
EE StatusNon EE/AA

This opportunity is ideal for graduates wanting practical industry experience while working alongside experienced data professionals in a fast-paced financial environment.


Junior Data Scientist Network Job Description

The successful candidate will become part of a professional analytics team responsible for transforming financial data into meaningful business insights.

The role combines data preparation, machine learning, reporting, automation, and business collaboration, allowing graduates to gain valuable exposure across multiple areas of modern data science.

Successful applicants will work with large financial datasets while contributing to projects that improve operational efficiency and support strategic business decisions.


Junior Data Scientist Network Responsibilities

As a Junior Data Scientist, your day-to-day responsibilities may include:

  • Collecting financial data from multiple sources.
  • Cleaning and preparing datasets for analysis.
  • Transforming raw data into usable information.
  • Assisting with the development of machine learning models.
  • Supporting fraud detection initiatives.
  • Working on customer churn prediction projects.
  • Assisting with portfolio optimisation analysis.
  • Building interactive dashboards using Power BI.
  • Producing reports for management and stakeholders.
  • Supporting automation initiatives.
  • Collaborating with Data Engineers and Business Analysts.
  • Identifying opportunities to improve reporting processes.
  • Helping improve data quality and business insights.

This role provides broad exposure to both technical and business aspects of data science.


Junior Data Scientist Network Requirements

Applicants should meet most of the following requirements:

  • Degree in Data Science
  • OR Degree in Statistics
  • OR Degree in Computer Science
  • OR Degree in Finance
  • OR another closely related qualification

Applicants should also have:

  • 0–2 years of experience
  • Internship experience will be advantageous
  • Strong analytical and problem-solving abilities
  • Good communication skills
  • Ability to work within a collaborative team environment

Recent graduates are encouraged to apply.


Junior Data Scientist Network Technical Skills

Candidates should possess knowledge of:

  • Python programming
  • Pandas
  • Matplotlib
  • Scikit-learn
  • SQL
  • Microsoft Excel
  • Microsoft Power BI

Although this is an entry-level role, applicants who have completed university projects, internships, or personal data science portfolios using these technologies will have an advantage during the recruitment process.


Junior Data Scientist Network Career Benefits

Working in financial analytics offers graduates exposure to some of the most exciting applications of data science.

Benefits of this opportunity include:

  • Permanent employment
  • Industry experience in financial analytics
  • Exposure to machine learning projects
  • Mentorship from experienced professionals
  • Practical Python development experience
  • Power BI dashboard development
  • Fraud detection modelling
  • Portfolio optimisation projects
  • Career growth within analytics
  • Professional development opportunities

Graduates will gain practical experience that can significantly strengthen their long-term careers within the technology and finance sectors.


Junior Data Scientist Network Application Process

Interested candidates who meet the minimum requirements should submit their applications through the official recruitment process managed by Network IT.

Applications typically require:

  • Updated Curriculum Vitae (CV)
  • Certified qualification documents (if requested)
  • Academic transcript (where applicable)
  • Certified copy of South African ID
  • Any additional supporting documentation requested by the employer

Ensure all submitted information is accurate and complete.


Why Consider This Junior Data Scientist Opportunity?

Data science remains one of South Africa’s fastest-growing career fields, with increasing demand across banking, insurance, healthcare, retail, telecommunications, and financial services.

This role provides exposure to:

  • Artificial Intelligence
  • Predictive Analytics
  • Business Intelligence
  • Financial Modelling
  • Machine Learning
  • Data Engineering Collaboration
  • Automation
  • Fraud Prevention

Graduates entering this field gain highly transferable skills that remain valuable across multiple industries.


Before applying, make sure you:

  • Update your CV.
  • Ensure your contact details are correct.
  • Upload clear certified documents if requested.
  • Double-check your academic information.
  • Apply well before the closing date.
  • Keep copies of your application confirmation.
  • Submitting an incomplete application may reduce your chances of being shortlisted.

TRAINTOWORK Advice

If you qualify for this opportunity, do not wait until the final day to apply. Recruitment systems often experience heavy traffic close to the closing date, and last-minute technical problems could prevent your application from being submitted successfully.

Before applying, make sure your CV is updated, your academic records are ready, and your proof of residence is available. Even if you are still completing your qualification and only require workplace exposure to graduate, this programme could provide the practical experience you need to complete your studies and strengthen your future employment prospects.

Also continue applying for similar internships, graduate programmes, and Work-Integrated Learning (WIL) opportunities instead of relying on a single application. Building multiple applications increases your chances of securing employment in the competitive graduate job market.

Junior Data Scientist Network

Frequently Asked Questions (FAQs)

What is the position available?

Network IT is recruiting for a Junior Data Scientist position based in Johannesburg North.

Is this a permanent job?

Yes. The opportunity is a permanent full-time position.

Who can apply?

Graduates with qualifications in Data Science, Statistics, Computer Science, Finance, or related fields are encouraged to apply.

How much experience is required?

Applicants with between 0 and 2 years of experience, including internships, are welcome to apply.

Which programming language is required?

Candidates should have working knowledge of Python, particularly libraries such as pandas, matplotlib, and scikit-learn.

Is SQL required?

Yes. Basic SQL knowledge is listed as one of the preferred technical skills.

Is Power BI required?

Yes. Familiarity with Power BI and Microsoft Excel is expected.

Where is the job located?

The position is based in Johannesburg North, Gauteng.

What type of work will I perform?

Successful candidates will assist with data cleaning, machine learning, fraud detection, reporting, dashboard creation, automation, and financial data analysis.

Why should graduates apply?

This role provides valuable hands-on industry experience, exposure to real business challenges, and an excellent foundation for building a long-term career in data science and financial analytics.

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