Data Scientist Intern

Menara Maxis; Kuala Lumpur; On-site; MYR 111,600 - 167,400; Full time

Benefits offered by this job

Hands-on experience with AI and ML

Opportunity to impact business decisions

Exposure to large datasets

Job summary

Menara Maxis is seeking a Data Scientist Intern in Kuala Lumpur for a full-time role. This internship offers valuable hands-on experience in machine learning, advanced analytics, and AI-driven solutions, working on real business challenges that enhance decision-making and efficiency.

The ideal candidate will engage in model development, data analysis, and feature engineering while contributing to innovative AI projects. Strong programming skills in Python and SQL, along with an interest in generative AI, are required.

Qualifications

• Currently pursuing or holding a Bachelor’s degree in a quantitative field.
• Proficient in Python and SQL for data manipulation.
• Understanding of machine learning concepts and evaluation techniques.

Responsibilities

• Build, train, and optimize machine learning models.
• Conduct exploratory data analysis and translate findings to recommendations.
• Develop Python and SQL scripts for AI architecture.

Skills

Machine Learning

Python

SQL

Data Analysis

Problem-Solving

Education

Bachelor’s degree in Computer Science or related field

Tools

MLOps frameworks

Large Language Models

Job description

## Data Scientist InternApplylocations: Menara Maxistime type: Full timeposted on: Posted 4 Days Agojob requisition id: JR13443**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 Scientist Intern and gain hands-on experience in machine learning, advanced analytics, and AI-driven solution development. In this role, you will work on real business problems by building predictive models, engineering data features, and contributing to GenAI and automation initiatives that enhance decision-making and operational efficiency.**Key Responsibilities:*** **Machine Learning Model Development:** Build, train, and optimise baseline machine learning models to solve defined business problems, ensuring rigorous evaluation against performance benchmarks and business objectives.* **Actionable Insights Generation:** Conduct deep-dive exploratory data analysis (EDA) to interpret model outputs and statistical patterns, translating complex findings into clear, strategic recommendations for stakeholders.* **Behavioral Data Enrichment:** Clean, engineer, and aggregate multi-dimensional user activity data into robust behavioural features that improve predictive model accuracy and depth.* **AI Architecture & Pipeline Integration:** Develop clean and modular Python and SQL scripts to support autonomous agent workflows, including retrieval-augmented data ingestion and integration with real-time inference APIs and MLOps deployment frameworks.* **Prompt Engineering & GenAI Experimentation:** Design, test, and refine structured prompting frameworks to enhance the accuracy, reasoning, and domain relevance of Large Language Model (LLM) outputs.**Preferred Skills/Qualifications:*** **Education:** Currently pursuing or holding a Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or other highly quantitative or computational fields.* **Machine Learning & AI:** Strong foundational understanding of machine learning concepts, model development, and evaluation techniques.* **Programming Skills:** Proficiency in Python and SQL, with experience in data manipulation, scripting, and model development.* **Data & Analytics Skills:** Ability to perform exploratory data analysis, feature engineering, and interpret complex datasets.* **GenAI Exposure:** Interest or experience in prompt engineering, large language models, and generative AI applications.* **Problem-Solving Skills:** Strong analytical thinking with the ability to break down complex problems and develop structured solutions.* **Collaboration:** Ability to work effectively in cross-functional technical teams in a fast-paced environment.**Why join us?**As a Data Scientist Intern, you’ll gain exposure to cutting-edge AI, machine learning, and GenAI technologies within a large-scale enterprise environment. You will:* Build and deploy real-world machine learning models that impact business decisions.* Work with large, complex datasets and develop advanced data engineering skills.* Gain hands-on experience with GenAI, prompt engineering, and AI automation.* Contribute to high-impact AI initiatives such as Digital Care & Servicing AI.* Develop a strong foundation in applied data science, MLOps, and AI systems design.This internship offers an exciting opportunity to work at the forefront of data science and artificial intelligence, combining technical depth with real business impact.**Application Process:*** Internship opportunities available for candidates who can start in July, with a duration of up to 6 months.* Applicants must include their availability period clearly in their CV.**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.