Rewards, Performance and Enablement Intern

Maxis; Kuala Lumpur; On-site; MYR 8,900 - 17,000; Full time

Job summary

Maxis is offering an internship for students eager to dive into AI, data analytics and HR digitalisation. You will gain hands-on exposure to OCR, ML models, Workday rules, and dashboards while collaborating with IT, HRIT, and cross-functional teams.

You'll explore AI-powered chatbots, data validation, and predictive analytics, supporting the HR digitalisation journey and delivering real business impact in a dynamic, fast-paced environment.

Qualifications

• Currently pursuing a Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, Business Analytics, or a related field.
• Basic understanding of AI, machine learning, data analytics, or Generative AI concepts.
• Familiarity with programming or data analysis tools such as Python, SQL, Power BI, or similar tools would be an advantage.

Responsibilities

• Support the implementation and testing of OCR, data extraction, and Generative AI solutions to automate HR processes such as leave applications, expense claims, and supporting document processing.
• Assist in developing machine learning models to identify unusual expense patterns and flag potential errors, fraud, or policy violations.
• Support the development of LLM-powered workflows for the classification and routing of leave applications and expense claims.
• Assist in configuring business rules within Workday to validate and reconcile workforce data and ensure compliance with company policies.
• Support the development of predictive analytics models using historical HR data to identify workforce trends and employee turnover risks.
• Assist in designing and developing AI-powered chatbots to provide employees with self-service support on HR-related matters such as leave, benefits, and payroll.
• Participate in User Acceptance Testing (UAT), including test scenario preparation, execution, defect tracking, and documentation.
• Work closely with the HRIT team on system configuration, data validation and migration, deployment, and post‑implementation support.
• Develop dashboards, data visualisations, and reports to monitor HR and organisational performance and provide actionable insights.
• Collaborate with IT, HRIT, and other stakeholders on technology and operational initiatives based on business requirements.

Skills

Analytical thinking

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Python

SQL

Power BI

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?

We are looking for an intern who is passionate about technology, artificial intelligence, and data analytics to support HR digitalisation and automation initiatives. This role offers hands‑on exposure to AI‑driven solutions, machine learning, HR systems, and data analytics while working closely with IT, HRIT, and cross‑functional stakeholders.

Key Responsibilities

• Support the implementation and testing of OCR, data extraction, and Generative AI solutions to automate HR processes such as leave applications, expense claims, and supporting document processing.
• Assist in developing machine learning models to identify unusual expense patterns and flag potential errors, fraud, or policy violations.
• Support the development of LLM-powered workflows for the classification and routing of leave applications and expense claims.
• Assist in configuring business rules within Workday to validate and reconcile workforce data and ensure compliance with company policies.
• Support the development of predictive analytics models using historical HR data to identify workforce trends and employee turnover risks.
• Assist in designing and developing AI-powered chatbots to provide employees with self-service support on HR-related matters such as leave, benefits, and payroll.
• Participate in User Acceptance Testing (UAT), including test scenario preparation, execution, defect tracking, and documentation.
• Work closely with the HRIT team on system configuration, data validation and migration, deployment, and post‑implementation support.
• Develop dashboards, data visualisations, and reports to monitor HR and organisational performance and provide actionable insights.
• Collaborate with IT, HRIT, and other stakeholders on technology and operational initiatives based on business requirements.

Requirements

• Currently pursuing a Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, Business Analytics, or a related field.
• Basic understanding of AI, machine learning, data analytics, or Generative AI concepts.
• Familiarity with programming or data analysis tools such as Python, SQL, Power BI, or similar tools would be an advantage.
• Strong analytical and problem‑solving skills with an interest in applying technology to real‑world business challenges.
• Good communication and teamwork skills with the ability to collaborate with different stakeholders.
• Willingness to learn and work in a fast‑paced environment.

The internship experience may include exposure to the above projects and responsibilities. The scope is not exhaustive and may be adjusted based on business priorities, organisational needs, and project requirements.

Internship Duration

Starting September onwards, preferably 6 months or longer.

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.