Binance Accelerator Program - Applied Data Scientist

Binance; Singapore; A distancia; SGD 20.000 - 38.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote-first

Competitive salary

Career growth opportunities

Global exposure

Descripción de la vacante

Binance Accelerator Program is seeking a data-savvy intern to work on the AI systems powering Binance AI Products and future trading features. You will design, implement, and ship components of AI systems, including agents, pipelines, and evaluation tools, collaborating with the full-time algorithm team on production challenges.

You will own deliverables, run experiments, and contribute code that matters. This is an active internship where you build, contribute, and ship rather than observe.

Formación

• Pursuing a Bachelor's or Master's degree in CS, Data Science, Statistics, Mathematics, or a related field.
• Expected graduation in 2026 or 2027.
• Strong Python programming skills with AI-native development practices.
• Foundational understanding of large language models: attention, prompting, and differences between generation and reasoning.
• Able to work independently on defined tasks.

Responsabilidades

• Contribute to the design and development of LLM-powered pipelines for agentic trading — including reasoning components and tool-use frameworks.
• Build and evaluate prompt engineering strategies, test-time scaling approaches, and retrieval architectures for crypto-native data sources.
• Design and run model evaluation experiments with quality metrics for agent reasoning in financial contexts.
• Analyze agent performance in live trading scenarios — focusing on accuracy, latency, and reliability.
• Apply AI-native development practices using agentic coding tools as part of the engineering workflow.

Conocimientos

Python programming

AI-native development

Agentic coding tools

Educación

Bachelor's/Master's in CS/DS/Statistics/Math

Herramientas

Claude Code

Cursor

GitHub Copilot Workspace

Descripción del empleo

Binance Accelerator Program - Applied Data Scientist

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.

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.