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Data Science Summer Intern Jobs in Rochester, NY

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

Work with architects, operations teams, and data scientists to define data requirements and ... Benefits for part-time, contract, and intern roles may vary. Not sure if you meet every requirement?

Paychex

Data Solutions Engineer

Rochester, NY · On-site

$113K - $135K/yr

Work with architects, operations teams, and data scientists to define data requirements and ... Benefits for part-time, contract, and intern roles may vary. Not sure if you meet every requirement?

CACI

Supply Chain Intern - Summer 2027

Rochester, NY

$39K - $63K/yr

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 ...

Workiva

Spring 2027 Intern - Data Analytics

Rochester, NY · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... Summer 2027 Internships : Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded ...

Workiva

Spring 2027 Intern - Data Analytics

Geneseo, NY · On-site

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... Summer 2027 Internships : Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded ...

Workiva

Spring 2027 Intern - Data Analytics

Geneseo, NY · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... Summer 2027 Internships : Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded ...

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All JobsData Science Summer Intern JobsData Science Summer Intern Jobs in Rochester, NY

Data Science Summer Intern information

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How much do data science summer intern jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data science summer intern 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 does a Data Science Summer Intern do?

A Data Science Summer Intern typically works with a team of data scientists and analysts to help collect, clean, and analyze data. They may assist in building machine learning models, visualizing data, and generating reports to provide actionable insights for the organization. Interns often gain hands-on experience with programming languages like Python or R, as well as tools such as SQL and data visualization software. Their work supports larger projects and helps them develop practical skills for a career in data science.

What skills and qualifications are needed to thrive as a Data Science Summer Intern?

To thrive as a Data Science Summer Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by coursework or projects in data science or related fields. Familiarity with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and version control systems (e.g., Git) is typically expected. Curiosity, problem-solving ability, and effective communication help interns stand out when tackling real-world data challenges and presenting findings. These skills and qualities are crucial for extracting actionable insights from data and contributing meaningfully to team projects.

How do Data Science Summer Interns typically collaborate with other team members during their internship?

Data Science Summer Interns often work closely with data scientists, analysts, and engineers as part of cross-functional project teams. They usually participate in regular meetings, share progress updates, and seek feedback from mentors or supervisors. Interns may be assigned specific tasks within larger projects, such as data cleaning, exploratory analysis, or model development, and are encouraged to ask questions and contribute ideas. This collaborative environment helps interns learn from experienced professionals while developing both technical and communication skills.

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

AspectData Science Summer InternData Analyst Summer Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Business, or related fields
Work EnvironmentTech companies, startups, research labs with focus on data modeling and machine learningBusiness firms, marketing agencies, finance companies focusing on data reporting and analysis
Employer & Industry UsageCommon in tech, finance, healthcare industriesPrevalent in retail, finance, consulting sectors

While both roles involve working with data, a Data Science Summer Intern typically focuses on building models, machine learning, and advanced analytics, whereas a Data Analyst Summer Intern concentrates on data reporting, visualization, and insights. The choice depends on your career interests in technical modeling versus data interpretation.

What are popular job titles related to Data Science Summer Intern jobs in Rochester, NY?

For Data Science Summer Intern jobs in Rochester, NY, the most frequently searched job titles are:

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

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

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

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

Data Science Summer Intern jobs near you

Data Solutions Engineer

Rochester, NY • On-site, Remote

Paychex
Human Resources Consulting Services • 10K+ employees
Learn more about Paychexexternal

Full-time

Medical, Retirement, PTO

Re-posted 4 hours ago

Key responsibilities

  • Design, build, and optimize data systems for performance, scalability, ease of use, and reliability.

  • Build and optimize data pipelines for data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Azure Data Factory.

  • Collaborate with internal teams to understand platform solution needs and ensure data systems meet business and technical requirements.

Paychex rating

7.3

Company rating: 7.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

Job description

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a single connected HCM platform. As Paychex and Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better business outcomes. This is an exciting time to join our team as we continue to invest in innovation, simplify client experiences, and shape the future of work. At Paychex, you'll have the opportunity to grow your career, make a meaningful impact, and be part of something bigger as One Paychex.


Overview
The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence, and large-scale data operations. The role will involve collaborating with cross-functional teams to develop and deploy end-to-end solutions that improve data availability, scalability, security, and overall performance, ensuring alignment with both business goals and technical best practices.
Responsibilities
  • Work with architects, operations teams, and data scientists to define data requirements and translate them into actionable data strategies. Design, build and optimize data systems for performance, scalability, ease of use and reliability, leveraging tools for observability and troubleshooting; includes exploration of multiple solution options for any given integration objective and analysis of associated advantages and disadvantages. Enhance system integration for data workflows, ensuring performance metrics are met and all integrations remain stable and secure. Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud operations
  • Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Azure Data Factory. Develop automation frameworks and CI/CD pipelines using tools like Terraform, GitHub Actions, and Azure Pipelines for efficient and reliable data deployment. Ensure data pipelines comply with security, privacy, and compliance standards.
  • Work closely with internal teams, including data engineers, data scientists, analytics engineers and business stakeholders, to understand platform solution needs. Mentor junior engineers, providing guidance on best practices and technologies. Evangelize integration practices and knowledge within the organization to improve collaboration across teams.
  • Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

    • Qualifications
    • Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required
    • 7 years of experience in data engineering, software engineering, systems integration, or a related field, with demonstrated expertise in designing, building, and deploying scalable data solutions.
    • 4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large-scale data processing.
    • 1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.
    • Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.
    • Snowflake SnowPro - Preferred

    Live the Paychex Values
  • Act with uncompromising integrity.
  • Provide outstanding service and build trusted relationships.
  • Drive innovation in our products and services and continually improve our processes.
  • Work in partnership and support each other.
  • Be personally accountable and deliver on commitments.
  • Treat each other with respect and dignity.

    • What's in it for you?
    • We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.
    • We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.
    • We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.
    • We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.
    • We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.

      • Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.

      Not sure if you meet every requirement?
      At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us.

      Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.Qualifications:
      • Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required
      • 7 years of experience in data engineering, software engineering, systems integration, or a related field, with demonstrated expertise in designing, building, and deploying scalable data solutions.
      • 4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large-scale data processing.
      • 1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.
      • Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.
      • Snowflake SnowPro - Preferred
      Education:UNAVAILABLEEmployment Type: FULL_TIME

    What Paychex employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom

    Paychex logo

    About Paychex

    Sourced by ZipRecruiter

    Consult with America's businesses, leveraging Paychex key referral channels and partnerships to educate stakeholders on our services, and provide consultative solutions to increase market share and drive revenue.

    Industry

    Human resources consulting services

    Company size

    10,000+ Employees

    Headquarters location

    Rochester, NY, US

    Year founded

    1971

    Social media

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