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More specifically consulting interns get involved with our clients in the following project ... Data Science, Business Analytics, or other related field of study - Above average class performance ...
More specifically consulting interns get involved with our clients in the following project ... Data Science, Business Analytics, or other related field of study - Above average class performance ...
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Amazon Data Science Internship information
See Wisconsin salary details
$12.13 - $14.89
7% of jobs
$17.61 is the 25th percentile. Wages below this are outliers.
$14.89 - $17.65
18% of jobs
$17.65 - $20.40
22% of jobs
The median wage is $20.83 / hr.
$20.40 - $23.16
17% of jobs
$24.82 is the 75th percentile. Wages above this are outliers.
$23.16 - $25.92
18% of jobs
$25.92 - $28.67
8% of jobs
$28.67 - $31.43
5% of jobs
$31.43 - $34.19
1% of jobs
$34.19 - $36.95
0% of jobs
$36.95 - $39.70
2% of jobs
$39.70 - $42.46
1% of jobs
$12
$22
$42
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US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
Milwaukee, WI
Other
Re-posted 24 days ago
Deloitte rating
8.1
Based on 90 frontline employees who took The Breakroom Quiz
59th of 148 rated financial services
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 AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.
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
A successful candidate would possess these 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
The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.
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.
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
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.
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.
Qualifications: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 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
A successful candidate would possess these 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
The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.
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.
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
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.
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.
Education:Bachelor's DegreeEmployment Type: