DATA SCIENCE MANAGER

Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team?
If yes, we have just the role for you.

In Deloitte’s Audit and Assurance business, we make businesses and markets better. An audit is more than an obligation; it is an opportunity to see further and deeper into businesses. In our role as independent auditors, we enhance trust in the companies we audit, helping a multitrillion dollar capital markets system function with greater confidence. As we aspire to the very highest standards of audit quality, we deliver deeper insights that can help clients become more effective organizations.
You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Your work will span from research to deployment of production-ready AI solutions, and continued development. Some of our current projects focus on generative AI, prompt engineering, LLMs, agentic systems, anomaly detection, clustering, and knowledge graphs.
As a Data Science Manager, you will lead the technical aspects of our Data Science projects and the development of AI and ML solutions. You will collaborate closely with audit subject matter experts, product teams, and software developers to develop use case requirements and bring solutions to production. You will manage Junior and Senior Data Scientists to complete the Data Science objectives that are required to fully develop and deploy production-level ML solutions. This includes performing or guiding research in an independent fashion and interacting closely with key stakeholders with varying levels of machine learning experience.

Specifically, you will be expected to:

• Lead the application of rigorous data science within your workstream, managing and supervising junior resources through the entire data science development and deployment lifecycle
• Collaborate with subject matter experts to obtain a deep understanding of the underlying business problem, and to define and refine the corresponding technical solution
• Design and manage project plans, metrics, and OKRs that align with the group’s mission of an AI-enabled audit
• Identify and communicate risks that emerge in the development lifecycle
• Stay up to date with the latest trends, techniques, and advancements in data science and identify opportunities for their application
• Actively mentor Junior and Senior Data Scientists on professional development including regular feedback and staff touchpoints
• Architect ML pipelines and actively contribute high-quality, production-ready code (readable, well-tested, with well-designed APIs)
• Communicate complex concepts clearly and effectively through excellent written and verbal communication skills, ensuring alignment among team members and stakeholders