Summer Internship-Technology-Data & AI- Malaysia

BP

Malaysia

On-site

MYR 17,000 - 30,000

Part time

4 days ago
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Benefits offered by this job

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Job summary

bp Malaysia in Kuala Lumpur operates bp's FBT organisation and runs One Digital, an early careers program created to develop diverse digital talent. The internship offers a structured path with a line manager and buddy to help you grow throughout the rotation.

During 3–6 months, you will work on real projects, gain exposure to data engineering, data science and AI, and build transferable skills for a future digital career in bp.

Qualifications

  • To apply for this role, you will preferably need a 3.2 CGPA and above, or equivalent, on computer science, data science, with strong data modelling, data analysis or statistical components.

Responsibilities

  • Role will be part of the Data & AI discipline and interns may rotate to different roles within this discipline.

Skills

Data Modelling
Data Analysis
Statistics
Data Structures & Algorithms
Problem Solving
Agile / Scrum

Tools

C#
Java
Python
R
SQL
Git

Job description

Entity: Technology

Job Family Group: Business Support Group

Job Description: Thinking about your future? So are we. We're working hard to deliver energy to the world today and tomorrow. But we can't do it alone. As a valued member of our early career programmes in Malaysia, you will work with us to shape the future of our organization.

Why join bp?

Our industry moves quickly. To remain at the forefront, we need to invest - in people and their development, not just research and technology. We're committed to unlocking people's potential, so you can do your best work, and we can all stay ahead of the game. For this reason, we invest in nurturing exceptional talent, including people like you. When you join, you'll be part of a company committed to growing our business - and your career. We operate as 'one' at bp and believe that building strong relationships is key to your success. Through our network, we have some amazing business resource groups with representations in various countries across the globe. These are aimed at creating a sense of belonging and making sure that our people feel seen, connected and supported - all while empowering you to feel a part of our inclusive world.

bp Malaysia in Kuala Lumpur, we operate bp's FBT organisation which is an integrated part of bp. Guided by our bp beliefs, our people are working hard to deliver energy to the world, today and tomorrow. Join our team, and develop your early careers in a supportive, forward-thinking environment.

Your early careers program

One Digital is an early careers program built to develop a strong pipeline of diverse digital talent. You will join a global digital community, gain broad cross-disciplinary experience, build transferable skill sets, and work on solving some of the most complex challenges of today and the future. The programme offers a range of foundational career experiences and serves as a launchpad for an exciting and impactful digital career.

Early careers experience at bp

Our summer internships are 3 months to 6 months. You'll be based in one team throughout your internship, working on real projects that you'll be able to manage through to completion. Throughout you'll have the support of a dedicated line manager and a buddy from one of our early career programs. Alongside your day-to-day responsibilities, you'll have the opportunity to attend events and socials, take part in training sessions to help develop your interpersonal skills and network with leaders from across bp. The program is designed to help build your skills and technical knowledge whilst also allowing you to learn more about life at bp. This is an assessed internship and may be a potential talent pipeline into graduate opportunities the following year.

About the discipline: Data & AI

The digital disciplines are a logical grouping of digital capabilities that facilitate the development of skills and experience, career progression and digital talent in bp. Our digital disciplines are made up of specialist sub-disciplines which focus on aspects of our digital capability.

Data and AI: We build data products, derive actionable insights, build ML/AI applications using analytics, data science and AI. This includes:

  • Data engineering (architecture) & data management
  • Data science and machine learning engineering
  • Data analytics
  • AI Engineering
Role and Responsibilities

This role will be part of the Data & AI discipline and during the early careers programme duration, you may be placed in a different role within this discipline at rotation. You will work with business SMEs, data managers, data scientists, data engineers and data analysts, product analysts, platform engineers to understand a specific business problem and how solving the problem impacts overall business performance and how to make it even better. You will dig into data sets and use tools and techniques to extract actionable insights from the data to narrate a specific data story for the business users which would help business make decisions to drive performance in terms of safety, operational efficiency and cost.

Requirements
  • To apply for this role , you will preferably need a 3.2 CGPA and above , or equivalent, on computer science, data science, with strong data modelling, data analysis or statistical components.
  • Students who are in the penultimate year or final year can apply to this internship
  • A firm grasp of development fundamentals in high-level languages (such as C#/Java/Python/R) with desire and eagerness to learn more.
  • Good problem-solving skills with a good understanding of data-structures & algorithms
  • Good understanding in mathematical areas like statistics, probability, and linear algebra.
  • Knowledge on SQL, Python & Analytical Tools with good coding skills
  • Basic understanding of version control (Git) and agile development methodologies (Agile with Scrum/Kanban)
  • Getting the basics right and having a curious & creative mindset will be key to your advancement in the field.

Interest/Project

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