Lead Data Scientist GenAI, Strategic Analytics - Data Science

Position Overview

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite highly skilled and experienced Lead Data Scientists to drive the development of our next‐generation GenAI solutions. Reporting to the Strategic Analytics team within Finance FP&A, you will play a pivotal role in designing and deploying breakthrough GenAI applications for both our organization and clients. (Note: Recruiting for this role ends on December 1, 2025.)

Key Responsibilities

• Partner with stakeholders to analyze business requirements, pain points, and objectives for 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.
• Architect holistic GenAI solutions by selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.) and designing scalable integration strategies.
• Lead model fine-tuning, prompt engineering, and customization while overseeing the development of robust, user-friendly GenAI-powered applications.
• Manage solution rollout including cloud setup, configuration, production deployment, and client enablement through training and documentation.
• Drive responsible AI efforts by ensuring data ethics, bias safeguards, privacy protections, and regulatory compliance.
• Prepare executive-level reports, dashboards, and demos while coordinating with internal teams and tech partners.
• Stay current on GenAI trends, mentor junior colleagues, and contribute to continuous improvement and thought leadership initiatives.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
• 5+ years of hands-on experience delivering machine learning or AI solutions, with preference for generative AI implementations.
• Proven ability to transform data insights into high-end client products.
• Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering).
• Proficiency in Python (including 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.
• Familiarity with solution architecture, risk assessment, and aligning technology with business objectives.
• Experience with agile methodologies and iterative delivery.
• Commitment to responsible AI practices including data ethics, privacy, and regulatory compliance.
• Ability to travel 0-10% as required.
• Note: Limited immigration sponsorship may be available.

Preferred Qualifications

• Relevant certifications such as 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.

Benefits & Perks

• Compensation: A base salary ranging from $102,500 to $188,900, dependent on a variety of factors including skill set, experience, and certifications. At Deloitte, compensation is determined by the specifics of each case.
• Eligibility to participate in a discretionary annual incentive program based on individual and organizational performance.