PRESCIENCE - Data Scientist - NLP/LLM
7 days ago
Responsibilities :
- Help define and lead the GenAI strategy for the Tax function, identifying high-value use cases and setting standards for adoption.
- Architect and deploy enterprise-grade AI solutions that transform workflows (e.g., intelligent assistants, AI-driven classification, anomaly detection, automated audit support, document summarization, retrieval-augmented reporting).
- Partner with senior Tax, Product, and Engineering leaders to drive requirements and deliver tools with measurable business impact.
- Lead the development of real-time, AI-powered analytics and recommendation engines that drive decision-making across the org.
- Establish governance, evaluation, and best practices for responsible use of AI in tax and compliance workflows.
- Mentor and guide analysts and engineers on applying GenAI/LLMs effectively in automation projects.
Requirements :
- 8 years of hands-on experience in AI, GenAI, and data automation, with a proven track record of delivering production-grade solutions at scale.
- 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.
Benefits :
- Competitive salary and performance-based bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment.
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
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