[Keppel Internship Programme 2027] Intern, Data/AI Engineering (Jan - May 2027)

Keppel is hiring a [Keppel Internship Programme 2027] Intern, Data/AI Engineering (Jan - May 2027) in Singapore, Singapore. Level rates it ; you can apply on Keppel.

Level's read on this job

Level rates this AI engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions scikit-learn, Databricks and AI evaluation among its tools and skills.
Level classes it as an internship.
Keppel has 196 other open roles on Level.

AI in this role

scikit-learndatabricks

ai-evaluationai-safety

JOB DESCRIPTION

Keppel is a leading global asset manager and operator with strong capabilities in energy & environment, urban development and connectivity, creating solutions for a sustainable future. The intern will be responsible in the following: 'Build & Maintain Data Pipelines Support AI/ML Model Development & Deployment Contribute to Data Platform & AI/Agentic Solutions Learning Outcomes: 'Understand how large-scale data platforms and architectures are designed Learn best practices in data security, access control, and responsible AI usage Develop practical experience contributing to production-grade data/AI solutions in a business context Gain hands-on experience in building and managing end-to-end data pipelines Develop strong understanding of data modeling, data quality checks, and transformation techniques Become proficient in working with modern data stack tools (e.g., SQL, Python, cloud data platforms like AWS/Snowflake)

JOB REQUIREMENTS

1. Educational Background & Technical Foundations Pursuing a degree in Computer Science, Data Science, Engineering, or a related field Strong fundamentals in programming (preferably Python) and SQL Basic understanding of data structures, algorithms, and software engineering principles 2. Data & AI Knowledge Familiarity with data processing concepts (ETL/ELT, data modeling, data cleaning) Exposure to machine learning fundamentals (e.g., supervised/unsupervised learning, model evaluation) Experience with common data/ML libraries (e.g., Pandas, NumPy, scikit-learn) is a plus 3. Tools & Platform Exposure Exposure to cloud platforms (e.g., AWS, Azure, or GCP) and modern data ecosystems is advantageous Familiarity with databases (SQL/NoSQL) and data warehousing concepts (e.g., Snowflake, BigQuery, Databricks) 4. Problem-Solving & Mindset Strong analytical thinking and problem-solving skills Ability to break down complex problems into structured solutions Eagerness to learn and adapt in a fast-paced, technology-driven environment 5. Communication & Collaboration Good communication skills, with the ability to explain technical concepts clearly Team player with a proactive and ownership-driven attitude Ability to work with cross-functional teams (analytics, business stakeholders)

BUSINESS SEGMENT

Corporate

PLATFORM

Operating Division

How we rate this

[Keppel Internship Programme 2027] Intern, Data/AI Engineering (Jan - May 2027) at Keppel rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

[Keppel Internship Programme 2027] Intern, Data/AI Engineering (Jan - May 2027) is an open job at Keppel.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Singapore.
The job was posted on July 28, 2026.
Seniority: intern.
Applications are handled by Keppel. Apply on Keppel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI EvaluationAI Safetyscikit-learnDatabricks

Also common in AI engineer jobs at this level

LLM AI agents Generative AI RAG TypeScript JavaScript

Pay

Typical AI engineer job: $184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

How do you decide that one model's output is better than another's for a given task?
How do you think about the risk of an AI system in this kind of role failing silently?
What are the limits of scikit-learn that you've run into, and how did you work around them?
What's a project where you used Databricks hands-on?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: AI Evaluation, AI Safety, scikit-learn, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. You get your review by email within 24 hours.

Get a free CV review Get your CV rewritten Check your resume with the ATS resume checker

Get new AI engineer jobs (Works on AI ●●●○ or higher) by email

One email a week with the new AI engineer jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.