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Amazon Data Science Internship Jobs in Rochester, NY

2027 Intern - Technology

Geneseo, NY · On-site

$14.50 - $19.25/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Rochester, NY · On-site

$15 - $19.75/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Rochester, NY

$15 - $19.75/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Geneseo, NY

$14.50 - $19.25/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

Showing results 41-60

Amazon Data Science Internship information

See Rochester, NY salary details

$11

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$41

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

As of Sep 10, 2026, the average hourly pay for amazon data science internship in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

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.

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.

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.

How hard is it to get into an Amazon Data Science Internship?

Getting into an Amazon Data Science Internship is competitive, often requiring strong academic performance, relevant technical skills in programming and statistics, and prior experience with data analysis or machine learning. Candidates typically need to demonstrate proficiency in tools like Python or R and have a solid understanding of data-driven problem solving.

What are the most commonly searched types of Amazon Data Science jobs in Rochester, NY?

The most popular types of Amazon Data Science jobs in Rochester, NY are:

What job categories do people searching Amazon Data Science Internship jobs in Rochester, NY look for?

The top searched job categories for Amazon Data Science Internship jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Amazon Data Science Internship jobs?

Cities near Rochester, NY with the most Amazon Data Science Internship job openings:

Infographic showing various Amazon Data Science Internship job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,185 per year, or $22.2 per hour.

College Intern - AI Engineering - Fall 2026 (Multiple Openings)

Rochester, NY

$21 - $23/hr

Part-time

Medical, Dental, Retirement

Posted 21 days ago


Job description

Job Description:

Fall 2026 Internship

The Fall College Internship Program is a paid co-op/internship experience that provides undergraduate and graduate students the opportunity to attend development workshops, network, and be part of our company. Our college interns work on meaningful projects, are mentored under their respective managers, and continue to develop throughout the entire fall. In addition, through the internship program, our interns can attend development workshops that are focused on key business concept. Interns may work within the skills-based tracks of Information Technology, Business Administration, Actuarial, Human Resources, Analytics & Data, Communications, Finance, Marketing & Sales, Project Management, Clinical Studies, Customer Experience, Digital Operations, and other non-technical and/or technical based degree programs.

  • This is a paid internship/co-op.

  • May reside in either a technical or non-technical area.

  • Housing is not provided as part of our internships/co-ops.

Essential Accountabilities:

  • Specific duties will vary with assignment; specific divisional callouts are listed below.

  • Interns will explore scaling current existing models to better identify and stratify complex chronic conditions and Hierarchical Condition Categories (HCCs), enabling proactive and data-driven population health features

  • Extract and leverage clinical data

  • Interns will enhance and optimize traditional NLP and ML solutions with robust AI to significantly boost predictive accuracy and ensure robust coding compliance to CMS

  • Works with a mentor and supports key strategic projects.

  • Responsible for work assignments and possible responsibilities that vary according to business need and departmental opportunities, in addition to student's qualifications.

  • Functions performed are non-technical and/or technical in nature and will cover a broad range of business-related projects.

  • Creates and delivers presentation at completion of internship.

  • Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies' mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs.

  • Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures.

  • Regular and reliable attendance is expected and required.

  • Performs other functions as assigned by management.

Minimum Qualifications:

  • Desired majors include Data Science, AI Engineering, Statistics, Mathematics, Software Engineering, Computer Science or similar degree program.

  • Preferred skills or experience with: Programming, Statistics, Advanced Modeling, Natural Language Processing (NLP), Deep Learning, Agentic AI, and/or LLM

  • High School diploma along with proof of continuous college enrollment (enrolled in a full-time undergraduate or graduate degree program).

  • Must be in good academic standing.

  • Excellent communication skills both verbal and written with the ability to communicate to technical and non-technical audiences and interface with staff at all levels of the company.

  • Ability to work in a fast-paced changing environment and deliver high-quality work product.

  • Ability to work well in a team establishing good working relationships with peers.

  • Ability to multitask and prioritize tasks with a strong attention to detail.

  • Experience using a desktop computer in a professional environment.

  • Experience with Microsoft Office Suite.

  • Demonstrates strong organizational and prioritization skills.

  • Strong analytical and problem-solving skills.

  • Proactive approach to work, displaying creativity and flexibility in completing assigned tasks.

  • Commitment to continuous improvement of skills and team functioning.

  • Must be self-motivated and able to work independently, as well as on intra- and inter- departmental teams where needed.

Physical Requirements:

  • Ability to work while sitting and/or standing at a workstation viewing a computer and using a keyboard, mouse and/or phone for three (3) or more hours at a time.

  • Ability to travel across the Health Plan service region for meetings and/or trainings as needed.

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In support of the Americans with Disabilities Act, this job description lists only those responsibilities and qualifications deemed essential to the position.

Equal Opportunity Employer

Compensation Range(s):

Level I - Minimum $18.00 - Maximum $20.00

Levell II - Minimum $21.00 - Maximum $23.00

The salary range indicated in this posting represents the minimum and maximum of the salary range for this position. Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position's minimum qualifications, in addition to internal equity. The posted salary range reflects just one component of our total rewards package. Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.

Please note: There may be opportunity for remote work within all jobs posted by the CDPHP Talent Acquisition team. This decision is made on a case-by-case basis.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.