Summer Data & AI Internship — Hybrid (KL)

BP PLC; Kuala Lumpur; Hybrid; MYR 17,000 - 28,000; Full time

Job summary

BP Malaysia in Kuala Lumpur offers an early careers internship in the Data & AI discipline. You will rotate across roles with SMEs and engineers, building practical data engineering, analytics and ML-related experience while solving real business challenges.

You will gain transferable skills, participate in events and training, and contribute to data-driven decision making in a supportive, inclusive team environment.

Qualifications

• CGPA 3.2+ or equivalent on CS or data science with strong data modelling/analysis.
• Penultimate or final year students can apply to the internship.
• Fundamentals in high-level languages (C#/Java/Python/R) and eagerness to learn more.
• Good problem-solving with understanding of data structures & algorithms.
• Strong background in statistics, probability and linear algebra.
• Knowledge of SQL, Python and analytical tools; good coding skills.
• Basic understanding of version control (Git) and agile development (Scrum/Kanban).
• Interest/projects/internship in Data-AI fields is a plus.
• Structured thinking and strategic problem-solving with proven examples.
• Soft skills: communication, continuous learning, inclusive team player.

Responsibilities

• Rotate across roles within Data & AI discipline during the programme.
• Collaborate with business SMEs, data managers, data scientists, data engineers and data analysts.
• Extract actionable insights from datasets and narrate data stories to drive business decisions.

Skills

CGPA 3.2+

Data modelling

Data analysis

Statistics & linear algebra

SQL & Python

Git & Agile (Scrum/Kanban)

Programming fundamentals

Data engineering basics

Education

Bachelor's degree in Computer Science/Data Science

Tools

SQL

Python

Analytics tools

Job description

BP Malaysia in Kuala Lumpur offers an early careers internship in the Data & AI discipline. You will rotate across roles with SMEs and engineers, building practical data engineering, analytics and ML-related experience while solving real business challenges.

You will gain transferable skills, participate in events and training, and contribute to data-driven decision making in a supportive, inclusive team environment.