Exxaro Graduate in Training (PIT) Programmes 2026

Exxaro Resources invites South African graduates to apply for the Graduate in Training (PIT) Programmes 2026.

Programme Application Closing Date: 20 May 2026

Programme Location: Centurion, Gauteng, South Africa

Work Placement Areas: Limpopo and Mpumalanga, South Africa


About the Exxaro PIT Programme

The Exxaro Professional-in-Training (PIT) Programme is a structured graduate development programme aimed at equipping young graduates with practical workplace experience, mentorship, and professional development within the mining and corporate environment.

The programme combines:

  • Structured development plans
  • Technical workplace exposure
  • Skills development activities
  • Performance assessments
  • Professional mentorship
  • Participation in operational projects
  • Research and innovation exposure

Graduates will also participate in annual PIT symposiums where they present projects and contribute to organisational learning initiatives.


Available Graduate Opportunities

Graduate in Training Financial Accountancy (PIT)

  • Reference Number: EXX251114-3
  • Exxaro Reference: P400000005

Minimum Requirements

Applicants must have:

  • BCom Financial Accountancy qualification OR
  • BCom Management Accountancy qualification

Successful candidates should also demonstrate:

  • Strong analytical skills
  • Problem-solving abilities
  • Leadership potential
  • Good communication skills
  • Microsoft Office proficiency
  • Ability to work independently and within teams
  • Willingness to relocate
  • Ability to work under pressure

Areas of Exposure

Graduates may gain experience in:

  • Financial reporting
  • Cost management
  • Budgeting
  • Corporate finance
  • Financial analysis
  • Mining sector finance operations

Graduate in Training Data Sciences (PIT)

  • Reference Number: EXX251112-1
  • Exxaro Reference: P400000002

Minimum Requirements

Applicants must have:

  • BSc or BComp specialising in Data Sciences

Candidates should also possess:

  • Strong analytical and problem-solving skills
  • Leadership abilities
  • Teamwork skills
  • Good communication skills
  • Microsoft Office proficiency
  • Adaptability and willingness to learn
  • Ability to manage multiple assignments

Areas of Exposure

Graduates may gain exposure to:

  • Data analytics
  • Artificial intelligence
  • Machine learning
  • Business intelligence
  • Data modelling
  • Mining technology systems
  • Digital transformation projects

What Graduates Will Do

Participants in both programmes will:

  • Follow structured development plans
  • Participate in performance reviews
  • Present projects during PIT symposiums
  • Support operational teams
  • Participate in research initiatives
  • Assist with innovation and continuous improvement projects
  • Maintain safety and compliance standards

The programme offers practical exposure to real business operations within a large corporate environment.


Skills Exxaro Is Looking For

Exxaro values graduates who demonstrate:

  • Professionalism
  • Leadership potential
  • Adaptability
  • Communication skills
  • Problem-solving ability
  • Team collaboration
  • Innovation mindset
  • Strong work ethic

Required Documents

Applicants should prepare:

  • Updated CV
  • Certified copy of ID
  • Qualification certificates
  • Academic transcripts
  • Supporting documents

How to Apply

APPLY FOR THE EXXARO FINANCIAL ACCOUNTANCY GRADUATE PROGRAMME HERE

APPLY FOR THE EXXARO DATA SCIENCES GRADUATE PROGRAMME HERE

Applicants must use the correct reference numbers when applying:

  • Financial Accountancy: EXX251114-3
  • Data Sciences: EXX251112-1

Important Notes

  • Applicants must be willing to relocate to Limpopo or Mpumalanga if required.
  • Graduate programmes are highly competitive, and applicants are encouraged to apply early.
  • Exxaro’s PIT Programme focuses on long-term professional development and career growth.

This programme is an excellent opportunity for graduates seeking careers in finance, mining operations, data science, artificial intelligence, and corporate analytics.

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