Binance Accelerator Program Data Scientist positions focus on delivering results in their domain. This page aggregates open Binance Accelerator Program Data Scientist roles and what employers typically expect.
**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. ### 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 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…