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# AI and Data Science Engineer III

- **Company:** Deloitte T.T.L.
- **Location:** Milwaukee, WI, United States
- **Experience:** Experienced
- **Salary:** $102,500.0 - $188,900.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Data Visualization, Distributed Data Store, Python (Programming Language), Machine Learning, Language Modeling, Operational Databases, Systems Development Life Cycle, Reliability Engineering, Power BI, Requirements Management, Software Engineering, SQL Databases, Tableau (Software), Scripting, Google Cloud, Cloud Platform System, Generative AI, Information Technology, Data Management, Machine Learning Operations, Data Pipelines, Programming Languages
- **Published:** August 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/us-e-es-lead-data-scientist-genai-financial-planning-analysis-strategic-analytics-milwaukee-wi--0c03e9b9-b111-48a5-b542-332c3adfd956

## About the Role

* 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, 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, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Business Analysis, Business Transformation, Cloud Computing, Communication Skills, Computer Science, Data Management, Data Science, Data Visualization Tools, Detail Oriented, Establish Priorities, Finance, Financial Operations, Financial Planning, Financial Planning and Analysis (FP&A), Financial Strategy, Incentive Programs, Interpersonal Skills, Leadership, Machine Learning, Machine Tool, Machining Operations, Mathematics, Microsoft Windows Azure, Modeling Languages, Multitasking, Operational Strategy, Performance Analysis, Power BI, Presentation/Verbal Skills, Problem Solving Skills, Product Development, Prototyping, Python Programming/Scripting Language, Reliability Engineering, Requirements Management, SQL (Structured Query Language), Scalable System Development, Software Engineering, Statistics, Strategic Analysis, Tableau, Technical
Writing, Time Management, Use Cases, Willing to Travel, Writing Skills

## Description

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


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