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Artificial Intelligence Analyst Jobs in Michigan

... analysis Job Type & Location This is a Contract position based out of Southfield, MI. Pay and ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

... analysis Job Type & Location This is a Contract position based out of Southfield, MI. Pay and ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Integrate machine learning and artificial intelligence models into robotic platforms and embedded ... Analyze system performance and continuously improve autonomy, accuracy, and reliability * Document ...

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Artificial Intelligence Analyst information

See Michigan salary details

$35.7K

$87.2K

$134.7K

How much do artificial intelligence analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for artificial intelligence analyst in Michigan is $87,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $105,000.00 per year, depending on experience, location, and employer.

What does an artificial intelligence analyst do?

An Artificial Intelligence Analyst evaluates AI technologies, analyzes data trends, and helps develop AI-driven solutions for businesses. They work with machine learning models, data sets, and automation tools to optimize processes and improve decision-making. Their role often involves collaborating with data scientists, engineers, and business teams to implement AI strategies.

What does a typical workday look like for an artificial intelligence analyst?

A typical workday for an Artificial Intelligence Analyst involves collecting and preparing datasets, developing and testing machine learning models, and analyzing results to improve accuracy and performance. You may collaborate closely with data scientists, engineers, and business stakeholders to align AI initiatives with organizational goals. Additionally, frequent meetings to discuss findings, present data-driven insights, and refine strategies are common. Balancing technical tasks with effective communication ensures that AI solutions are both actionable and valuable to the company.

What are the key skills and qualifications needed to thrive as an artificial intelligence analyst?

An Artificial Intelligence Analyst typically requires a strong background in computer science, mathematics, and statistics, often supported by a relevant degree or certification. Familiarity with programming languages such as Python or R, experience with machine learning frameworks like TensorFlow or PyTorch, and proficiency in data visualization tools are commonly expected. Strong analytical thinking, problem-solving abilities, and effective communication skills set exceptional candidates apart. These skills ensure the analyst can develop, interpret, and clearly explain complex AI models to drive real-world business solutions.

How can I become an artificial intelligence analyst?

To become an artificial intelligence analyst, you typically need a bachelor's degree in computer science, data science, or a related field, along with strong programming skills in languages like Python or R. Gaining experience with machine learning frameworks, data analysis, and statistical methods is essential, and earning certifications in AI or data science can enhance your qualifications. Developing a solid understanding of algorithms, data management, and problem-solving skills is also important for success in this role.

What cities in Michigan are hiring for Artificial Intelligence Analyst jobs?

Cities in Michigan with the most Artificial Intelligence Analyst job openings:

Infographic showing various Artificial Intelligence Analyst job openings in Michigan as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $87,210 per year, or $41.9 per hour.

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

Deloitte

Midland, MI • On-site

Full-time

Re-posted 12 days ago


Key responsibilities

  • Design, develop, and deploy artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders

  • Build and maintain scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments

  • Partner with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 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 September 30th 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 September 30th 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:

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