Job Description
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 Data Scientists ready to drive the development of our next-generation GenAI solutions. The TeamStrategic 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.
Recruiting for this role ends on December 1, 2025Work You’ll DoClient Engagement & Solution ScopingPartner 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 & DesignArchitect 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 & CustomizationLead 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 ManagementManage 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 & ComplianceLead 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 CommunicationPrepare 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 LeadershipStay current on GenAI trends, best practices, and emerging technologies; share insights across teams.
Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. QualificationsRequired: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.
EWJD3