Lead Data Scientist

KEY SKILLS :

• 8+ years of hands-on experience in AI, GenAI, and data automation , with a proven track record of delivering production-grade solutions at scale
• Led 3–4 member teams delivering scalable solutions using Python, SQL, and advanced ML / NLP techniques. Architected GenAI-driven systems with LLM integration, focusing on automation, hooks, and intelligent data modeling .
• Strong mandate in GenAI strategy, implementation, and solution design.
• Deep expertise in LLMs and GenAI techniques (e.g., prompt engineering, fine-tuning, RAG architectures, evaluation frameworks, conversational AI, classification, summarization)
• Advanced Python and SQL skills for building scalable AI and automation pipelines
• Strong background in automation and applied analytics, ideally in tax, finance, or highly regulated industries
• Experience deploying AI in cloud-based data environments (e.g., Snowflake, dbt, Airflow, Databricks)
• Ability to translate complex AI capabilities into intuitive, high-impact tools for non-technical users
• Strong communication and leadership skills—you can influence at all levels, from hands-on teams to executives
• Strong Communication & Clarity of Thought
• Excellent communication skills with the ability to clearly explain complex projects, methodologies, and outcomes.
• Can articulate the business problems being solved , the rationale behind chosen approaches, and the impact of delivered solutions in a structured and concise manner.

Model Selection & Justification

Strategic Guidance on Gen AI Best Practices

Cross-functional Collaboration & Leadership

Proven Hands-on Experience (optional to include if relevant)