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Google Internship Data Science Jobs in Rochester, NY

Sr. Solutions Architect AI

Rochester, NY · On-site

$170K - $195K/yr

Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force ... or Google Professional ML Engineer). * Experience in a Professional Services or consulting ...

AI Solutions Engineering Delivery Lead

Rochester, NY · On-site

$101K - $133K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Google Cloud Platform, with cloud foundational certifications highly desirable - Extensive ...

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Google Internship Data Science information

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$11

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

As of Sep 3, 2026, the average hourly pay for google internship data science 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 a Google internship in data science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

What types of projects does a data science intern typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

What are the key skills and qualifications needed to thrive as a Google data science intern, and why are they important?

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

What is the difference between Google Internship Data Science vs Google Data Analyst Internship?

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

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

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

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

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

Infographic showing various Google Internship Data Science 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)

Lthc

Rochester, NY

$21 - $23/hr

Part-time

Medical, Dental, Retirement

Posted 13 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 Excellus 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.