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Summer Intern Data Scientist Jobs in Rochester, NY

2027 PhD Research Engineering Intern/Co-op

Rochester, NY · On-site

$16.50 - $21.50/hr

From advancing healthcare and scientific discovery to powering AI and the technologies people rely ... Duration: * Spring/Summer Co-op : January 25, 2027 - August 13, 2027 * Summer Internship:

Job Title: Supply Chain Intern - Summer 2027 Job Category: Intern/Co-op Time Type: Part time ... Chain data analysis, reports, metrics, and presentations. You will lead and support projects ...

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Summer Intern Data Scientist information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do summer intern data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for summer intern data scientist in Rochester, NY is $162,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $167,700.00 per year, depending on experience, location, and employer.

What does a summer intern data scientist do?

A Summer Intern Data Scientist typically assists with data analysis, model building, and data visualization tasks under the guidance of experienced data scientists. They help collect, clean, and prepare data, perform exploratory analysis, and may contribute to developing machine learning models or data-driven solutions. Interns often work on specific projects, learning industry-standard tools and programming languages like Python, R, or SQL. The role provides hands-on experience and helps interns develop skills necessary for a career in data science.

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

A Summer Intern Data Scientist should possess a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by coursework in computer science, mathematics, or related fields. Familiarity with data visualization tools, machine learning libraries (like scikit-learn or TensorFlow), and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns interpret results and collaborate with diverse teams. These competencies enable interns to contribute meaningfully to projects, learn rapidly, and provide actionable insights during their limited internship period.

What types of projects can a summer intern data scientist expect to work on, and how is mentorship typically provided during the internship?

As a Summer Intern Data Scientist, you can expect to work on projects involving data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. Many internships assign interns to real-world business problems, allowing you to contribute to ongoing initiatives and see the impact of your work. Mentorship is commonly provided through regular check-ins with a dedicated supervisor or team, code reviews, and collaborative group meetings, ensuring you receive feedback and support as you develop your skills. This structure not only helps interns learn technical concepts but also exposes them to best practices in data science workflows and teamwork.

What is the difference between Summer Intern Data Scientist vs Data Analyst?

AspectSummer Intern Data ScientistData Analyst
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften holds or is pursuing a degree in Data Analysis, Statistics, or related areas
Work EnvironmentInternship programs in tech, finance, healthcare, and other industries; project-basedFull-time or part-time roles in various industries; focus on data reporting and visualization
Employer & Industry UsageUsed by companies offering internship programs to develop future data talentCommon in many industries for ongoing data reporting and business insights

The Summer Intern Data Scientist role is an entry-level internship focused on developing data science skills through project work, often involving machine learning and statistical modeling. In contrast, Data Analysts typically handle ongoing data reporting, visualization, and business analysis. While both roles require familiarity with data tools, the internship emphasizes learning and skill development, whereas Data Analysts often have more experience and responsibility in data interpretation.

What job categories do people searching Summer Intern Data Scientist jobs in Rochester, NY look for?

The top searched job categories for Summer Intern Data Scientist jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Summer Intern Data Scientist jobs?

Cities near Rochester, NY with the most Summer Intern Data Scientist job openings:

Infographic showing various Summer Intern Data Scientist job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $162,818 per year, or $78.3 per hour.

Summer 2027 Intern - Machine Learning Engineering

Workiva

Rochester, NY • On-site

$40/hr

Other

Retirement

Posted 8 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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