Lead GenAI Data Scientist

Lead GenAI Data Scientist at Deloitte

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead GenAI Data Scientists ready to drive the development of our next-generation GenAI solutions.

The Team

Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth.

GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives.

Work You'll Do

Client Engagement & Solution Scoping

• 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.

Solution Architecture & Design

• 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).
• Define and govern reliable, ethical, and compliant data sourcing and management.

Development & Customization

• 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.
• Drive thorough validation, testing, and iteration to ensure quality and accuracy.

Implementation, Deployment & Change Management

• Manage solution rollout, including cloud setup, configuration, and production deployment.
• Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users.

Risk, Ethics & Compliance

• 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.

Stakeholder Communication

• Prepare executive-level reports, dashboards, and demos to summarize progress and impact.
• Coordinate across internal teams, tech partners, and clients for effective project delivery.

Continuous Improvement & Thought Leadership

• Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams.
• Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies.

Qualifications

Required:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
• 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI.
• Independent thinker who can create the vision and execute on transforming data into high end client products.
• Demonstrated accomplishments in the following areas:
  • 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.
• Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

• Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials.
• Experience with data visualization tools such as Tableau.

Key skills/competency

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Solution Architecture
• Data Science
• Machine Learning
• Cloud Platforms (Azure, AWS, GCP)
• Python Programming
• AI Ethics
• Stakeholder Management