Data Science Intern

Razer (Asia-Pacific) Pte. Ltd

Singapore

On-site

SGD 20,000 - 27,000

Full time

2 days ago
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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

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities : Main Tasks & Responsibilities

Join our 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.

You will:

  • 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

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

Pre-Requisites : Razer is proud to be an Equal Opportunity Employer.

We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?

At Razer, you’ll be at the forefront of the most exciting industry in the world: gaming. As gaming evolves, so does the ecosystem that powers it: hardware, software and services. Guided by our mission “For Gamers. By Gamers.”, we create cutting-edge products and experiences that define the ultimate gameplay. Staying true to our mission, we’re relentlessly pushing boundaries and leading the charge in AI for gaming, shaping the future of the industry. At Razer, you won’t just witness this evolution; you’ll help drive it. Joining Razer means being part of a global mission to bring gamers closer to the games they love. Whether you’re crafting the next generation of gaming gear or powering our global operations behind the scenes, you’ll take on meaningful work in a truly international, cross-cultural environment. The journey toward Being Phenomenal isn’t always easy, but gamers excel through teamwork, grit, and problem-solving. Our people are what make Razer exceptional. Together, we’ll take Razer to even greater heights.

Razer is proud to be certified a Great Place to Work® in both the United States and Singapore, and recognized as a Singapore Top Employer by the Top Employer Institute, reflecting our commitment to making your journey here a rewarding one.

Equal Opportunity Employer At Razer, we believe diverse teams build better ideas and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected by the laws of the countries we operate in. We also provide reasonable accommodations where needed — including for disability or religious practices — so every team member can perform and contribute at their best.

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