Binance Accelerator Program - Data Scientist (AI Agent Quality)

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 opportunity is ideal for STEM graduate students and recent graduates looking to build expertise at the intersection of AI, risk, and intelligent automation.

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 analytical reports, technical documentation, and project deliverables.
• Collaborate with cross-functional teams to advance AI quality initiatives and improve project outcomes.
• Contribute to AI optimization workflows with a strong focus on accuracy, reliability, and business impact.

Requirements:

The ideal candidate is a highly analytical STEM graduate with strong foundations in data science, machine learning, and AI technologies. Required qualifications include:

• Master’s degree or above in a STEM-related field such as Computer Science, Statistics, Data Science, Applied Mathematics, Electrical Engineering, or a related discipline.
• Strong Python skills with the ability to independently write data processing and analysis scripts using tools such as pandas and numpy.
• Experience completing at least one end-to-end project from concept to final deliverable.
• Strong understanding of statistics, machine learning fundamentals, model training, and classification evaluation metrics such as precision, recall, confusion matrices, false positives, and false negatives.
• Ability to translate analytical findings into clear conclusions and practical recommendations.
• Fluency in English reading and writing, as project documentation and code are maintained in English.
• Experience using SQL for data extraction and analysis.
• Familiarity with LLMs, prompt engineering, AI Agents, or related AI projects is a plus.
• Experience using AI coding assistants such as Copilot, Cursor, Claude, or ChatGPT with a strong verification mindset.
• Background or interest in financial risk, KYC, compliance, or fraud prevention is beneficial.
• Strong ownership mindset, teamwork skills, and ability to take responsibility for project outcomes.

Benefits:

• Opportunity to gain hands-on experience in AI, machine learning, and blockchain-related technology projects.
• Exposure to real-world applications of LLMs, AI Agents, and data-driven decision systems.
• Collaboration with global teams and experienced professionals in an innovative environment.
• Remote-first work model with flexible working arrangements.
• Professional development opportunities and the chance to build transferable technical skills.
• Opportunity to work on challenging projects with meaningful business impact.
• Competitive salary and benefits package.
• Dynamic environment focused on learning, growth, and continuous improvement.