Data Scientist Intern

Menara Maxis; Kampung Paya; On-site; MYR 33,480 - 55,800; Full time

Benefits offered by this job

Real-world machine learning experience

Advanced data engineering skills

Hands-on experience with GenAI

Job summary

Menara Maxis in Kuala Lumpur is seeking a skilled machine learning intern to develop and optimize models impacting business decisions. Responsibilities include conducting exploratory data analysis, engineering user data, and integrating AI architectures.

The ideal candidate is pursuing a Bachelor's in Computer Science or a related field and has strong skills in Python and SQL. This role offers hands-on experience with real-world machine learning applications.

Qualifications

• Currently pursuing or holding a Bachelor’s degree in relevant fields.
• Strong understanding of machine learning concepts and evaluation techniques.
• Proficiency in Python and SQL.

Responsibilities

• Build, train, and optimize machine learning models.
• Conduct exploratory data analysis for model outputs.
• Clean and engineer user activity data for predictions.
• Develop Python and SQL scripts for workflows.
• Design structured prompting frameworks for LLM outputs.

Skills

Machine Learning concepts

Python

SQL

Exploratory Data Analysis

Data Engineering

Prompt Engineering

Analytical Thinking

Collaboration

Education

Bachelor’s degree in relevant field

Job description

Key Responsibilities

• Machine Learning Model Development: Build, train, and optimize baseline machine learning models to solve defined business problems, ensuring rigorous evaluation against performance benchmarks and business objectives.
• Actionable Insights Generation: Conduct deep‑diving 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.

Benefits

• 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.

EEO Statement

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