{"id":2168212,"url":"https://alion.io/job/razer-data-science-intern","title":"Data Science Intern","company":{"id":3457,"name":"Razer","domain":"razer.com","url":"https://alion.io/company/razer","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":36,"ghost_share":0,"stale_share":0.917,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":38000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":621},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cortex","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Keras","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-09T10:50:06Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T04:11:40Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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.\nJob Responsibilities :\nMain Tasks & Responsibilities:\nJoin 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.\nYou will:\nDevelop and enhance AI-driven personalised recommendation systems using Machine Learning (ML) / Deep Learning (DL)\n\nLeverage AI-assisted development tools to accelerate feature engineering, user segmentation, model prototyping, code generation, offline model evaluation, performance benchmarking and documentation\n\nDesign and analyse A/B tests and statistically evaluate model performance\n\nEnhance production pipelines using Airflow and AWS services\n\nSupport monitoring, debugging, and optimisation of deployed ML systems\n\nWork on real-world challenges including cold-start, personalisation at scale, revenue optimisation, and production infrastructure constraints.\n\nPre-requisites:\nPassion and interest in using Data Science to drive business impact\n\nStrong foundational understanding of ML fundamentals and core concepts\n\nHave hands-on ML project experience (academic or industry)\n\nProficiency in Python, SQL and common machine learning frameworks (e.g. TensorFlow, Keras, Sklearn, Pytorch) and LLM-powered workflows and embeddings\n\nDiligent, reliable, strong analytical skills, good communication skills, and teamwork\n\nExperience with cloud technologies (AWS, GCP, Azure etc) is advantageous\n\nPre-Requisites :\nRazer 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. 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