# Data Scientist Intern (Personalisation)

**Company**: Razer
**Experience**: entry
**Job type**: internship
**Category**: IT
**Industry**: Technology

**Apply**: https://razer.wd3.myworkdayjobs.com/en-US/Careers/job/Singapore/Data-Science-Intern_JR2026007795?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_39377d8c-684

## Description

Join Razer's Big Data team as a Data Scientist Intern (Personalisation) and contribute to production recommendation systems across Razer.com, Synapse, Cortex, and other software platforms.

You will work with data scientists and engineers to improve personalisation, accelerate experimentation, and drive user engagement and recommendation-attributed revenue.

Responsibilities:

- Develop and enhance AI-driven personalised recommendation systems using Machine Learning (ML) / Deep Learning (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.

Pre-requisites:

- Passion and interest in using Data Science to drive business impact

- Strong foundational understanding of ML fundamentals and core concepts

- Have hands-on ML project experience (academic or industry)

- Proficiency in Python, SQL and common machine learning frameworks (e.g. TensorFlow, Keras, Sklearn, Pytorch) and LLM-powered workflows and embeddings

- Diligent, reliable, strong analytical skills, good communication skills, and teamwork

- Experience with cloud technologies (AWS, GCP, Azure etc) is advantageous

## Skills

### Required
- Machine Learning
- Deep Learning
- Python
- SQL
- TensorFlow
- Keras
- Sklearn
- Pytorch
- Airflow
- AWS

### Nice to have
- cloud technologies
- GCP
- Azure

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Source: [Apply at razer.wd3.myworkdayjobs.com](https://razer.wd3.myworkdayjobs.com/en-US/Careers/job/Singapore/Data-Science-Intern_JR2026007795?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)