Data Scientist Intern

Job Responsibilities

Joining Razer places you on a global mission to revolutionize how the world games. Razer is a place to do great work, offering opportunities to impact globally while collaborating with a team across five continents. Razer also provides a unique, gamer-centric Life at Razer experience that supports accelerated growth both personally and professionally.

Main Tasks & Responsibilities

Join our Big Data team as a Data Scientist Intern (Personalisation) and work on large-scale AI systems that power personalized product recommendations across Razer.com, Cortex, Synapse, and other platforms. This role sits at the intersection of data engineering, cloud infrastructure, and artificial intelligence.

You will collaborate with data scientists and engineers to:

• Develop and enhance AI-driven personalized recommendation systems
• Design, implement, and analyse A/B tests at scale
• Build ranking models using ML / deep learning techniques
• Experiment with embeddings, candidate generation, and re-ranking strategies
• Perform large-scale data wrangling and feature engineering
• Conduct offline model evaluation and performance benchmarking
• Contribute to production pipelines using Airflow and AWS services
• Support monitoring, debugging, and optimization of deployed ML systems
• Adopt AI in the workflows above

Exposure to Real-World Challenges

• Cold-start problems
• Personalisation at scale
• Revenue-driven model optimization
• Latency and infrastructure constraints in production ML systems

Learning Outcome

You will:

• Understand and execute the end-to-end ML lifecycle (Data → Feature Engineering → Model Training → Offline Evaluation → A/B Testing → Model Deployment → Model Monitoring)
• Design statistically sound A/B experiments and interpret business impact
• Apply recommender system techniques in a real production environment
• Write clean, production-ready Python and SQL code
• Build scalable cloud-native ML pipelines
• Gain hands-on experience with experimentation-driven product development

You will leave with practical experience building AI systems that directly influence revenue.

Pre-requisites

• Passion and interest in using Data Science to drive business impact
• Strong foundational understanding of ML fundamentals and core concepts / architectures
• Hands-on ML project experience (academic or industry)
• Proficiency in Python, SQL, and experience with common machine learning frameworks (e.g., TensorFlow, Keras, Scikit-learn, PyTorch) and LLM-powered workflows and embeddings
• Diligent, reliable, strong analytical skills, good communication skills, and teamwork
• Experience with cloud technologies (Amazon Web Services, Google Cloud Platform)

Equal Opportunity

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 an inclusive, respectful, and fair workplace for every employee across all 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?