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

Demonstrates the ability to evaluate and select models by considering

cost, scalability, and computational efficiency .

Capable of reasoning why a particular model or Gen AI technique was applied over alternatives, balancing

accuracy, business value, and resource trade-offs .

Strategic Guidance on Gen AI Best Practices

Hands-on experience in advising organizations on

best practices for leveraging Generative AI tools .

Provides thought leadership in areas such as

prompt engineering, fine-tuning, data preparation, model evaluation, and responsible AI usage .

Ensures compliance with

ethical AI guidelines, governance, and data privacy considerations .

Cross-functional Collaboration & Leadership

Works closely with business stakeholders to

translate business challenges into AI-driven solutions .

Guides developers and data scientists on

designing, building, and deploying scalable Gen AI or data science solutions .

Plays a mentorship role, fostering skill development within the team.

Proven Hands-on Experience

(optional to include if relevant)

Experience in implementing

advanced AI / ML techniques

such as large language models (LLMs), NLP, multimodal AI, or reinforcement learning.

Track record of delivering projects that demonstrate measurable

business impact

through Generative AI.