US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
Indexed description
Recruiting for this role ends on July 25th 2026.
Work you'll do
As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for
- 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
- Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
- Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption
- 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
Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.
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.
- 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
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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