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Lead Data Scientist GenAI, Strategic Analytics - Data Science

Deloitte

$102,500 - $188,900
Oct 30, 2025
Las Vegas, NV, US
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Deloitte is looking to leverage Generative AI (GenAI) to transform Strategic Analytics and the future of Finance, developing next-generation GenAI solutions to drive innovation and deliver insights for executive leaders and clients.

Requirements

  • Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering).
  • Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP).
  • Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows.
  • Knowledge of solution architecture, risk assessment, and mapping technology to business goals.
  • Familiarity with agile methodologies and iterative delivery.
  • Commitment to responsible AI, including data ethics, privacy, and regulatory compliance.
  • Experience with data visualization tools such as Tableau

Responsibilities

  • Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.).
  • Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms).
  • Lead model fine-tuning, prompt engineering, and customization for client-specific needs.
  • Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience.
  • Manage solution rollout, including cloud setup, configuration, and production deployment.
  • Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes.
  • Monitor performance, implement KPIs, and manage model retraining and auditing processes.

Other

  • Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases.
  • Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents).
  • Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation.
  • Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users.
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve