INTERNSHIP DETAILS

Binance Accelerator Program - Applied Data Scientist

CompanyBinance
LocationAsiago
Work ModeOn Site
PostedApril 20, 2026
Internship Information
Core Responsibilities
You will support the design and development of LLM-powered pipelines and AI application components while assisting in model evaluation and performance analysis. You will also collaborate with senior engineers to build and test prompt engineering strategies and agent workflows.
Internship Type
binance accelerator program
Company Size
357
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. Posts are not directed towards UK users.
About the Role

About the Role

This internship is part of Tech Seeds 2026 — our program to identify and develop AI-native young talent. As an Applied Data Scientist young talent, you will take on a hands-on builder role at the intersection of AI research and production systems, working alongside full-time algorithm engineers on LLM applications and AI system architecture from day one.

This is not a shadowing role. You will own deliverables, run experiments, and ship code that matters.

 

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What You'll Do
Support the design and development of LLM-powered pipelines and AI application components
Build and test prompt engineering strategies, retrieval-augmented generation (RAG) setups, or agent workflows
Assist in model evaluation — designing metrics, running benchmarks, and interpreting results
Analyze system performance and identify opportunities for improvement in latency, accuracy, or cost
Use AI coding tools as a core part of your workflow — not as a shortcut, but as a force multiplier
Collaborate with senior engineers and researchers to understand production AI system architecture
 
What We're Looking For
Currently pursuing Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field
Expected graduation in 2026 or 2027
Solid Python programming skills and comfort with data manipulation (Pandas, NumPy)
Basic understanding of machine learning concepts and at least one deep learning framework (PyTorch preferred)
Curiosity about LLMs and generative AI — hands-on experimentation is a strong signal
Ability to break down complex problems and work through them systematically
Available for a 6-month full-time commitment
 
Bonus Points
Personal projects, coursework, or competition experience involving LLMs or generative AI
Familiarity with tools like LangChain, OpenAI API, or Hugging Face
Experience with Git and collaborative development workflows


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What Makes You a Fit for Tech Seeds 2026

You've already been experimenting with AI tools on your own — not because you had to, but because you were curious. You learn fast and want to build things that work in the real world.

 

Key Skills
PythonData manipulationPandasNumPyMachine learningDeep learningPyTorchLLMsGenerative AIPrompt engineeringRAGAgent workflowsGitLangChainOpenAI APIHugging Face
Categories
TechnologyData & AnalyticsSoftwareEngineeringScience & Research