This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Binance Accelerator Program - Data Scientist (AI Agent Quality) based in India.

We are seeking a Data Scientist intern to contribute to the evaluation, optimization, and continuous improvement of AI-powered decision systems.
This role focuses on applying data science, machine learning, and statistical analysis to improve AI Agent quality in critical compliance and KYC-related initiatives.
You will investigate AI decision patterns, identify improvement opportunities, and transform complex datasets into actionable insights.
The position offers hands-on experience working with large language models, production analytics, and advanced AI workflows.
As part of a global technology environment, you will collaborate with experienced teams while developing practical skills in AI research and data-driven problem solving.
This prospect is ideal for STEM graduate students and recent graduates looking to build expertise at the intersection of AI, risk,



and intelligent automation.

Accountabilities:

The Data Scientist will support research, analysis, and development efforts focused on improving AI Agent decision quality and operational effectiveness. Key responsibilities include:
- Participate in research initiatives focused on AI Agent decision-quality analysis and continuous improvement.
- Perform root-cause analysis on AI Agent decisions using statistical and data analysis techniques.
- Develop and research statistical algorithms and machine learning models to improve system performance.
- Use Python and SQL to process data, validate hypotheses, and support production applications involving large language models (LLMs).
- Extract, analyze, and interpret complex datasets to generate measurable insights and actionable recommendations.
- Evaluate AI outputs and identify patterns, errors, and improvement opportunities.
- Support the creation of ana

📌 Binance Accelerator Program (India)
🏢 Jobgether
📍 India