Are you ready to get ahead in your career?

• We want to empower you to turn your ambitions into achievements.
• We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.
• Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.
• To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.

Why does this job exist and why is it critical?​

Join Maxis as a Data Analytics & AI Intern, where you will gain hands-on experience supporting data-driven initiatives, AI applications, and automation projects across the organisation. This role offers exposure to real-world analytics use cases, machine learning concepts, and process optimisation, contributing directly to innovation and operational efficiency in a fast-paced environment.

Key Responsibilities

1. Data Analysis & Visualisation

• Support data preparation, cleaning, and analysis tasks.

• Assist in creating simple dashboards and visualisations to derive insights.

• Work with datasets to identify trends and support decision-making.

2. AI & Machine Learning Support

• Assist in AI or machine learning–related activities such as data modelling and testing.

• Support experimentation and validation of models under guidance.

• Contribute to improving data-driven solutions using basic AI concepts.

3. Programming & Automation

• Develop basic scripts or programs to support data processing.

• Participate in automation initiatives to streamline workflows and improve efficiency.

• Explore opportunities to implement simple automation solutions.

4. Innovation & Problem Solving

• Collaborate with team members to brainstorm and propose innovative ideas.

• Contribute to solving business problems using data and technology.

• Support initiatives that enhance operational efficiency through analytics.

5. Documentation & Reporting

• Document processes, findings, and project outcomes.

• Assist in preparing reports, presentations, and insights for stakeholders.

• Ensure clarity and accuracy in all documentation.

Value-Added Exposure

• Gain hands-on experience with real-world data analytics and AI projects.

• Work with modern tools, technologies, and datasets in an enterprise environment.

• Learn how data and automation drive business decisions and innovation.

• Receive mentorship and guidance from experienced professionals.

Preferred Skills / Qualifications

• Currently pursuing a Bachelor’s degree in Data Analytics, Data Science, Computer Science, Artificial Intelligence, Information Technology, Engineering or related fields

• Basic understanding of data analytics concepts.
  Introductory knowledge of AI or machine learning (academic exposure is acceptable).

• Familiarity with programming languages such as Python, R, SQL, Java, or similar.

• Strong analytical thinking and problem-solving skills.

• Proactive, eager to learn, and able to work independently and collaboratively.

• Good communication skills in English (spoken and written).

Why Join Us?

• Gain practical exposure to data analytics, AI, and automation in a leading organisation.

• Work on impactful projects that drive business value.

• Develop technical and analytical skills in a supportive environment.

• Build a strong foundation for a career in data, AI, or technology.

Internship Duration: 6 months, starting July 2026

What’s next?

• Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
• Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.

Maxis values diverse voices & people. We hire and reward our employees based on capability & performance — regardless of ethnicity, gender, age, education, religion, nationality or physical ability.