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Amazon Data Science Internship Jobs in Madison, WI

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise ... Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon ...

This role applies advanced software, data science, machine learning, and LLM engineering expertise ... Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise ... Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon ...

This role applies advanced software, data science, machine learning, and LLM engineering expertise ... Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon ...

Principal Software Engineer

Madison, WI · On-site

$136K - $182K/yr

Required : • Bachelor's Degree in Data Science, Computer Science, Information Systems ... e.g., Azure, Amazon AWS Services/SDKs, etc.). • Agile development tools; including, but not ...

Principal Software Engineer

Madison, WI · On-site

$136K - $182K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Amazon AWS Services/SDKs, etc.). * Agile development tools; including, but not limited to, JIRA ...

Sr. Software Engineer

Madison, WI · On-site

$123K - $162K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Amazon AWS Services/SDKs, etc.). * Agile development tools; including, but not limited to, JIRA ...

Principal Software Engineer

Madison, WI

$136K - $182K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Amazon AWS Services/SDKs, etc.). * Agile development tools; including, but not limited to, JIRA ...

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Amazon Data Science Internship information

See Madison, WI salary details

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How much do amazon data science internship jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for amazon data science internship in Madison, WI is $22.68, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.71 per hour, depending on experience, location, and employer.

How much does Amazon pay to interns?

Amazon Data Science Interns typically receive a competitive hourly wage, which can range from $20 to $40 per hour depending on location and experience. Internships usually last 12 to 16 weeks and may include benefits such as housing stipends or transportation allowances in some locations.

What are the key skills and qualifications needed to thrive as an Amazon Data Science Intern, and why are they important?

To thrive as an Amazon Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, AWS, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and present findings to both technical and non-technical stakeholders. These abilities are crucial for delivering actionable insights and contributing to impactful projects in Amazon's fast-paced, data-driven environment.

What is an Amazon Data Science Internship?

An Amazon Data Science Internship is a temporary position for students or recent graduates to work with Amazon’s data science teams. Interns apply statistical analysis, machine learning, and data engineering skills to solve real-world business problems. The internship provides hands-on experience with large datasets and exposure to Amazon’s tools, technologies, and culture. Interns also have opportunities to collaborate with experienced data scientists and contribute to impactful projects. This experience can help launch a career in data science, especially in the tech industry.

Does Amazon have data science internships?

Yes, Amazon offers data science internships for students and recent graduates, typically lasting 12 weeks during the summer. These internships provide hands-on experience with large-scale data analysis, machine learning, and cloud tools like AWS, and often require strong programming skills in Python or R.

What types of projects do interns typically work on during an Amazon Data Science Internship?

As an Amazon Data Science intern, you can expect to work on real-world projects that directly impact business decisions. Common projects include developing predictive models, performing exploratory data analysis, and collaborating with software engineers to implement machine learning solutions. Interns often partner with cross-functional teams, such as product managers and business analysts, to translate data insights into actionable recommendations. This hands-on experience helps interns build technical and communication skills while gaining exposure to Amazon's fast-paced, data-driven environment.

How much do Amazon data science interns make?

Amazon data science interns typically earn between $30 and $40 per hour, depending on experience and location. Interns often work full-time during the summer and may receive additional benefits such as stipends or housing support.

Is it hard to get an internship at Amazon?

Securing an Amazon Data Science Internship is competitive due to high applicant volume and rigorous selection processes. Candidates typically need strong academic backgrounds, relevant technical skills such as machine learning and data analysis, and demonstrated problem-solving abilities. The application process often includes multiple interviews and technical assessments.
Infographic showing various Amazon Data Science Internship job openings in Madison, WI as of July 2026, with employment types broken down into 1% Locum Tenens, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $47,166 per year, or $22.7 per hour.
Artificial Intelligence Engineer III

Artificial Intelligence Engineer III

Insperity

Madison, WI • On-site

$58 - $77.75/hr

Full-time

Medical, Dental, Vision, PTO

Posted 19 days ago


Insperity rating

7.8

Company rating: 7.8 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

131st of 451 rated business services


Job description

Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide.
Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen.
We've earned recognition time and again as a top place to work-named among the best by respected organizations like Glassdoor and U.S. News & World Report. We're also proud to be recognized for one of the country's Top 50 Midsize Early Talent Programs through RippleMatch's Campus Forward Awards. There's never been a better time to be part of Insperity, and our best work is still ahead. Learn more at Insperity.com.
Why Insperity?
Flexibility: Over 80% of Insperity's jobs have flexibility. We want your time to have balance, whether it's spent with coworkers, clients, family or your community.
Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.
Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work.
We are seeking an Artificial Intelligence Engineer III to join our team
Summary:
This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence systems that address ambiguous and high impact business problems. This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The AI Engineer III operates with a high degree of autonomy, making architectural and technical decisions while ensuring solutions are reliable, measurable, secure, and aligned with enterprise AI standards.
Responsibilities:
  • Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine learning models, and hybrid approaches.
  • Builds and operates complex AI systems such as agentic workflows, retrieval-augmented generation (RAG) platforms, and decision-support solutions.
  • Evaluates ambiguous business problems and determines appropriate AI patterns, modeling techniques, and system architectures.
  • Defines and implements evaluation strategies, metrics, and feedback loops to measure model effectiveness and business impact.
  • Leads the development of data pipelines, feature strategies, and evaluation datasets required to support AI systems.
  • Owns production readiness, including performance, reliability, cost, observability, and failure handling.
  • Identifies and mitigates risks related to bias, hallucination, data leakage, and unintended AI behavior.
  • Collaborates cross-functionally with product management, platform teams, and stakeholders to guide solution design and delivery.
  • Mentors and provides technical guidance to other team members.
  • Contributes to the establishment and evolution of AI engineering standards, patterns, and best practices.

Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience.
  • Five or more years of professional experience spanning software engineering, data science, machine learning engineering, or AI system development.
  • Advanced proficiency in software engineering, including Python, APIs, testing, and system design.
  • Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, or similar.
  • Strong applied knowledge of machine learning and artificial intelligence concepts, evaluation techniques, and failure modes.
  • Hands-on experience designing, building, and deploying LLM based systems using enterprise grade platforms and frameworks.
  • Experience with one or more AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
  • Deep understanding of data quality, feature relevance, and model behavior across structured and unstructured data.
  • Experience deploying, monitoring, and iterating on AI systems in production environments.
  • Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and scalability.
  • Strong communication and leadership skills, with the ability to influence technical direction and mentor others.

This job specification should not be construed to imply that these requirements are the exclusive standards of the position. Incumbent will follow any other instructions, and perform any other related duties, as may be required by the supervisor.
At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

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About Insperity

Sourced by ZipRecruiter

Take care of your people Insperity has a long history of improving the success equation of small and midsize businesses across the country – because when businesses succeed, communities prosper. And in today’s changing business environment, it’s our privilege to take care of an organization’s most valuable asset: its people.

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

Year founded

1986

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