Data Analytics & AI Intern
maxine
📍 menara maxis malaysia🕐 1mo ago🔗 workday
Job Description
**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**
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**1\. Data Analysis & Visualisation**
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* 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**
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* 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**
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* 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?**
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* 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.