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Binance

Binance Accelerator Program - Data Scientist, Analytics

  • Remote
  • English (B2)

Salary

Not stated

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Description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.

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

The Risk AI DS team builds risk-detection models on large-scale user behavior, fund-flow and market data.

Responsibilities

  • Own a real-world project stream end-to-end, such as syndicate detection, user behavior sequencing, market manipulation detection, or feature discovery.
  • Process and analyze billions of records using PySpark, Hive, and Trino, and develop robust SQL pipelines for feature engineering and validation.
  • Build, evaluate, and iterate on machine learning models, translating model performance into meaningful business metrics such as detection rate, false-positive rate, and latency.

Requirements

  • Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • Strong foundation in machine learning concepts, with proficiency in Python and SQL.
  • Familiarity with database management systems such as MySQL, PostgreSQL, SQL Server, or MongoDB.
  • Comfortable working with large-scale datasets; experience with Apache Spark is a plus.
  • Proficient in leveraging AI coding agents, such as Claude Code or Cursor, to accelerate development and improve productivity.
  • Proactive and detail-oriented, with a strong instinct for investigating data anomalies and identifying root causes.
  • Fluency in English is required to coordinate with overseas partners and stakeholders, articulate technical findings clearly, and collaborate effectively across teams. Additional languages would be an advantage.
  • 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.

Where you’d work

Fully remote

You can work from

  • Australia

About the company

Binance

  • Industry: FinTech

Also hiring in London, United Kingdom

6 of their 7 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 3 red flags

Still hiring?

13 checks

No red flags

How crowded?

6 checks

3 red flags

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Details11 facts · Role, Location, Compensation, Employment, Company, Requirements
Tech stack
  • Python
  • SQL
  • PostgreSQL
  • Spark
Type
Internship
Industry
FinTech
Specialty
Data Science
Region
Australia
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Tech stack
  • Python
  • SQL
  • PostgreSQL
  • Spark

Location

Work model
Remote
Region
Australia
Remote from
  • Australia

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Internship

Company

Industry
FinTech

Requirements

Languages
  • English (B2)

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