US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

About the role

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 AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting Information

Recruiting for this role ends on July 25th 2026.

Work you'll do

• Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
• Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
• Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
• Sponsoring the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
• Maintaining solution performance, managing technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

Qualifications

• Required:
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
• 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
• 3+ years of experience developing solutions using Python
• 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
• Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
• Preferred:
• Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
• Experience developing generative artificial intelligence or large language model solutions
• Experience with machine learning operations tooling and model deployment frameworks
• Experience building application programming interfaces or production data products
• Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
• Experience with data visualization tools such as Tableau or Power BI

Skills

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others