Data Science Intern - Analytics & Modeling (Hybrid)

BHP; Kuala Lumpur; Hybrid; MYR 13,000 - 20,000; Full time

Benefits offered by this job

Mentorship from professionals

On-the-job training

Job summary

BHP’s Data Science Internship in Kuala Lumpur offers hands-on experience applying data science techniques to real-world business challenges. You will support data sourcing, validation, and testing activities, ensuring data quality for analysis while building predictive models and running simulations.

The role emphasizes collaboration with diverse stakeholders, translating complex data into actionable insights and gaining practical exposure through mentorship and on-the-job training.

Qualifications

• Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• Willingness to work full-time (five days a week – Hybrid).
• Proficient in English (written and spoken).
• Familiarity with Python, or SQL.
• Exposure to data visualization tools (Tableau, Power BI, etc.).
• Strong Microsoft Office skills.

Responsibilities

• Support data sourcing and validation to ensure accuracy and integrity of datasets.
• Assist in data preparation and testing for predictive models and simulations.
• Apply data mining and analysis techniques to identify patterns and insights.
• Contribute to model development and algorithm testing.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Prepare simple reports and visualizations for stakeholders.

Skills

Python

SQL

Data visualization

Cloud platforms

Teamwork

English

AI prompts

Data cleaning

Time management

Education

Pursuing a degree in Data Science/CS/Statistics/Math/Engineering

Tools

Tableau

Power BI

Matplotlib

Seaborn

Job description

BHP’s Data Science Internship in Kuala Lumpur offers hands-on experience applying data science techniques to real-world business challenges. You will support data sourcing, validation, and testing activities, ensuring data quality for analysis while building predictive models and running simulations.

The role emphasizes collaboration with diverse stakeholders, translating complex data into actionable insights and gaining practical exposure through mentorship and on-the-job training.