Binance Accelerator Program - Applied Data Scientist

Binance; Hong Kong; Remote; HKD 167,000 - 246,000; Part time

Job summary

Binance Accelerator Program invites students and recent graduates to work directly on AI systems powering Binance AI products and agentic trading features. You will deliver, run experiments, and ship code that matters, collaborating with the full-time algorithm team on real production challenges.

You own deliverables, build components of AI systems, and work with engineers to ship features that reach users. This internship is hands-on and expected to contribute from day one.

Qualifications

• Pursuing Bachelor’s or Master’s in CS/DS/Math or related field.
• Strong Python and AI-native development practices.
• Understanding of LLMs: attention, prompting, reasoning vs generation.
• Ability to work independently on defined tasks.

Responsibilities

• Contribute to design and development of LLM-powered pipelines for agentic trading.
• Build and evaluate prompt engineering strategies and retrieval architectures for crypto-native data sources.
• Design and run model evaluation experiments with clear quality metrics.
• Analyze agent performance in live trading scenarios including latency and robustness.
• Apply AI-native development practices using agentic coding tools in the engineering workflow.

Skills

Python programming

AI-native development

Agentic tools

LLMs basics

Education

Bachelor's or Master's in CS/Data Science/Math

Tools

Claude Code

Cursor

GitHub Copilot Workspace

Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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, and more. Our mission is to increase the freedom of money and financial access for people around the world.

About Binance Accelerator Program

Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.

Who May Apply

Current university students and recent graduates.

• Terms of employment / engagement shall be subject to contract and local applicable laws

About The Role

You’ll work directly on the AI systems powering Binance AI Products and next-generation agentic trading features — alongside the full-time algorithm team, on real production challenges.

You own deliverables, run experiments, and ship code that matters. You build components of AI systems (agents, pipelines, evaluation tools), debug real systems, and work with engineers to ship features that reach users.

This is not a "watch and learn" program. You are expected to build, contribute, and ship.

Responsibilities

• Contribute to the design and development of LLM-powered pipelines for agentic trading — including reasoning agent components, tool-use frameworks via MCP, and automated workflow execution across crypto markets.
• Build and evaluate prompt engineering strategies, test-time scaling approaches, and retrieval architectures for crypto-native data sources — on-chain data, market feeds, news, and sentiment signals.
• Design and run model evaluation experiments — defining quality metrics for agent reasoning in financial contexts, executing benchmarks, and synthesizing results into actionable findings.
• Analyze agent performance characteristics in live trading scenarios — covering decision accuracy, latency, reliability, and adversarial robustness.
• Apply AI-native development practices using agentic coding tools as a standard part of the engineering workflow — writing and executing Python code for strategy logic, data pipelines, and agent evaluation.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
• Expected graduation in 2026 or 2027.
• Strong Python programming skills with demonstrated AI-native development practices — you use agentic coding tools (Claude Code, Cursor, GitHub Copilot Workspace) as a core part of your workflow.
• Foundational understanding of how large language models work — attention mechanisms, prompting, and the difference between standard generation and reasoning models.
• Structured problem-solving approach and ability to operate independently on defined tasks.

Why Binance

• Shape the future of finance
• Collaborate with world‑class talent in a user‑centric global organization with a flat structure
• Tackle challenging projects in a fast‑paced and innovative enviornment with autonomy
• Thrive in a results‑driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Remote‑first, work‑from‑home arrangement (may vary depending on the nature of the role and 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 acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.