Data Science Intern: Personalisation & AI for Recommendations

Razer (Asia-Pacific) Pte. Ltd; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Razer is seeking a Data Scientist Intern (Personalisation) to join our Big Data team and contribute to production recommendation systems across Razer.com, Synapse, Cortex, and other platforms. You will collaborate with data scientists and engineers to improve personalisation, accelerate experimentation, and boost user engagement.

Responsibilities include developing AI-driven personalised recommendations, enabling rapid feature engineering, designing and analysing A/B tests, and enhancing

Qualifications

• Passion and interest in using Data Science to drive business impact
• Strong foundational understanding of ML fundamentals and core concepts
• Hands-on ML project experience (academic or industry)
• Proficiency in Python, SQL and ML frameworks (TensorFlow, Keras, Scikit-learn, PyTorch) and LLM-powered workflows and embeddings
• Experience with cloud technologies (AWS, GCP, Azure) is advantageous

Responsibilities

• Develop and enhance AI-driven personalised recommendation systems using ML/DL
• Leverage AI-assisted development tools to accelerate feature engineering, user segmentation, model prototyping, code generation, offline model evaluation, performance benchmarking and documentation
• Design and analyse A/B tests and statistically evaluate model performance
• Enhance production pipelines using Airflow and AWS services
• Support monitoring, debugging, and optimisation of deployed ML systems
• Work on real-world challenges including cold-start, personalisation at scale, revenue optimisation, and production infrastructure constraints.

Skills

Python

SQL

TensorFlow

Keras

PyTorch

Scikit-learn

LLM workflows

Embeddings

Airflow

AWS

GCP

Azure

Tools

Airflow

AWS

GCP

Azure

Job description

Razer is seeking a Data Scientist Intern (Personalisation) to join our Big Data team and contribute to production recommendation systems across Razer.com, Synapse, Cortex, and other platforms. You will collaborate with data scientists and engineers to improve personalisation, accelerate experimentation, and boost user engagement.

Responsibilities include developing AI-driven personalised recommendations, enabling rapid feature engineering, designing and analysing A/B tests, and enhancing