Page 2. Web3 Data Jobs in Asia

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.About Binance Accelerator Program Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE Who may apply Current university students and recent graduates.About the teamAs a Data Science Intern on our team, you’ll be at the forefront of safeguarding Binance’s ecosystem by leveraging data to detect anomalies, assess threats, and predict potential risks across the platform. Our mission is to build intelligent, scalable systems that proactively identify fraud, prevent abuse, and ensure the integrity of user activity—without compromising on performance or user experience. Join us in building a safer, smarter crypto future.About the roleOur business is fundamentally data-driven, harnessing a cloud-native platform to support tens of millions of cryptocurrency users. Engineers and data scientists across the company utilise this platform to carry out meaningful and impactful analysis that fuels ongoing innovation. As a data scientist, you’ll have the opportunity to work with vast datasets (at petabyte scale) and cutting-edge machine learning infrastructure to develop data products that serve our extensive global user base. You’ll work in close collaboration with a talented team of engineers, data analysts, business operations specialists, and product/marketing managers to design and deliver solutions, features, algorithms, and products—powered by our rich data and state-of-the-art machine learning technology.

Responsibilities:

• Develop and evaluate AI models for KYC fraud detection, especially in face verification and document forgery use cases.
• Explore and prototype LLM-based solutions to automate case review, generate rule-based explanations, and assist in fraud pattern mining.
• Utilise our petabyte-scale data warehouse to conduct in-depth analyses aimed at delivering personalised services and enabling automated detection of abnormal user behavior.
• Collaborate with data scientists and engineers to optimize detection pipelines and provide actionable insights to stakeholders.

Requirements:

• Able to commit for at least 6-12 months.
• Currently enrolled as a full-time undergraduate or graduate student.
• Hands-on experience in developing image analysis and video analysis models.
• Strong grasp of AI concepts and mathematical foundations, including deep learning, generative AI, reinforcement learning, prompt engineering and optimisation techniques.
• Proficiency in programming languages such as Python, SQL is preferred.

Why Binance• Shape the future with the world’s leading blockchain ecosystem• Collaborate with world-class talent in a user-centric global organization with a flat structure• Tackle unique, fast-paced projects with autonomy in an innovative environment• Thrive in a results-driven workplace with opportunities for career growth and continuous learning• Competitive salary and company benefits• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

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