Binance Accelerator Program - Applied Data Scientist

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.

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

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.