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Open nowPosted 16 days ago

Data Science Intern

Razer148 open roles

Where
Singapore
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Your applicationOpen nowData Science InternRazer · Singapore

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Razer postings stay open a median of 12 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 16 days ago

Razer median: 12 days open

The posting

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:

  • 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.

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