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Data Science Internship Cpt Jobs in Rochester, NY

Digital Analyst Internships

Rochester, NY · On-site

$97K - $115K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Digital Analyst Internships

Geneseo, NY · On-site

$95K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

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Showing results 1-20

Data Science Internship Cpt information

See Rochester, NY salary details

$11

$22

$41

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

As of Jul 14, 2026, the average hourly pay for data science internship cpt 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 the difference between Data Science Internship Cpt vs Data Analyst Internship Cpt?

AspectData Science Internship CptData Analyst Internship Cpt
Required CredentialsTypically requires coursework in statistics, programming, and data analysis; sometimes a related degreeSimilar requirements, often focusing on data analysis and visualization skills
Work EnvironmentInvolves data modeling, machine learning, and predictive analytics in tech or finance sectorsFocuses on data cleaning, reporting, and visualization in various industries
Employer & Industry UsageUsed by tech companies, finance, and consulting firms for data-driven projectsCommon across multiple industries including marketing, healthcare, and retail

While both internships involve working with data, Data Science Internship Cpt emphasizes machine learning and predictive modeling, whereas Data Analyst Internship Cpt focuses on data visualization and reporting. Both roles require similar foundational skills but differ in their technical depth and application areas.

What types of projects and collaboration opportunities can I expect during a Data Science Internship CPT?

During a Data Science Internship CPT, you can expect to work on real-world data projects such as data cleaning, exploratory analysis, model development, and visualization tasks. Interns often collaborate closely with data scientists, engineers, and product managers, gaining exposure to cross-functional teamwork. You may also participate in meetings, present findings, and contribute to solving business challenges using data-driven approaches. This environment fosters both technical skill development and professional growth, providing valuable experience for future roles in the field.

What is a Data Science Internship CPT?

A Data Science Internship CPT (Curricular Practical Training) is a temporary work authorization for F-1 international students in the U.S., allowing them to gain practical experience in data science while enrolled in a degree program. The internship must be directly related to the student's major and typically offered through a cooperative agreement between the employer and the educational institution. CPT is usually part-time during the academic year and can be full-time during breaks, but using full-time CPT for 12 months or more may affect eligibility for Optional Practical Training (OPT).

What are the key skills and qualifications needed to thrive as a Data Science Internship CPT, and why are they important?

To thrive as a Data Science Internship CPT, you typically need foundational knowledge in statistics, programming (usually Python or R), and data analysis, often supported by ongoing studies in computer science or a related field. Familiarity with tools such as Jupyter Notebook, SQL databases, and machine learning libraries like scikit-learn or TensorFlow is highly valuable. Strong problem-solving skills, curiosity, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for contributing meaningfully to data-driven projects and learning effectively during the internship.
What cities near Rochester, NY are hiring for Data Science Internship Cpt jobs? Cities near Rochester, NY with the most Data Science Internship Cpt job openings:
Sustainability Data & Reporting Analyst

Sustainability Data & Reporting Analyst

Cooper Companies

Victor, NY

$71K - $95K/yr

Full-time

Posted 21 days ago


Job description

At CooperVision, a division of CooperCompanies, we're driven by a unifying purpose to help people to experience life's beautiful moments. We are connected through our shared values - dedicated, innovative, friendly, partners, and do the right thing. As a leading global manufacturer of contact lenses, we are committed to helping improve the way people see each day. Through our diverse lens portfolio, we tackle the toughest vision challenges - including astigmatism, presbyopia, and childhood myopia. We offer the most complete collection of spherical, toric, and multifocal products available, enabling us to fit 99% of all contact wearers. Learn more at www.coopervision.com.

  • This role is not eligible for employer-sponsored work authorization now or in the future. Applicants must be authorized to work in the United States on a permanent and ongoing basis without the need for future sponsorship (i.e., H1B, STEM OPT extensions, TN, etc.)
  • This position requires full-time onsite work (5 days per week) in Victor, NY and is not eligible for relocation assistance

Job Summary: 

The Sustainability Data & Reporting Analyst (hereafter "the role") supports the collection, structuring, and reporting of sustainability-related data across the organization. This role focuses on improving the accuracy, consistency, and timeliness of environmental data used for internal reporting and external disclosures.

Knowledge, Skills and Abilities:

Required:

  • Bachelor's degree in a related field required (Data Analytics, Data Science, Environmental Science or Sustainability, Information Systems, Engineering, etc.)
  • 1-3 years of experience supporting data analysis, reporting, or equivalent relevant internship experience. 
  • Experience working with data tools such as Tableau, Excel, or similar platforms is required.
  • Strong analytical and problem-solving skills with the ability to work with structured and unstructured data
  • Hands-on experience with data visualization tools such as Tableau (required)
  • Proficiency in Microsoft Excel, including data manipulation and analysis
  • Foundational understanding of data structures, data flows, and data governance principles
  • Strong attention to detail, particularly when working with data accuracy and transformation
  • Experience working across multiple systems and identifying relevant data sources (e.g., ERP, financial, or operational systems) to support data analysis and reporting
  • Comfortable operating in a dynamic environment with evolving data requirements and changing business needs
  • Strong verbal and written communication skills, with the ability to explain data concepts to non-technical stakeholders
  • Demonstrated ability to manage multiple tasks and priorities in a fast-paced environment
  • Capable of working independently once priorities are defined, with a proactive approach to problem-solving

Preferred

  • Familiarity with sustainability, environmental science, or ESG reporting concepts (e.g., Scope 1, 2, 3)
  • Exposure to product, packaging, or material data within enterprise or ERP systems
  • Exposure to ERP systems (e.g., Oracle, SAP, Baan) and understanding of how transactional data is structured and sourced
  • Understanding of data quality challenges related to sustainability or regulatory reporting
  • Experience using SQL, Python, or similar tools for data analysis or preparation
  • Experience working with large or complex datasets across multiple systems
  • Familiarity with enterprise systems or data pipelines
  • Internship or academic project experience involving real-world data analysis

Work Environment 

  • This is an on-site position requiring regular in-office attendance (5 days a week) in Victor, NY.
  • Standard office environment with regular computer-based work. May include prolonged periods of sitting and working with data across multiple systems

Experience:

  • 1-3 years of experience supporting data analysis, reporting, or equivalent relevant internship experience. 
  • Experience working with data tools such as Tableau, Excel, or similar platforms is required.

Education:

  • Bachelor's degree in a related field required (Data Analytics, Data Science, Environmental Science or Sustainability, Information Systems, Engineering, etc.)

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. 

For U.S. locations that require disclosure of compensation, the starting base pay for this role is between $71,971.00 and $95,961.00 per year and may include cost of living adjustments.  The actual base pay includes many factors and is subject to change and modification in the future.  This position may also be eligible for other types of compensation and benefits.

#LI-AK1

  • Collect, consolidate, and validate sustainability-related data from multiple internal systems, ensuring consistency, accuracy, and alignment to reporting requirements
  • Work with IT to support data integration, transformation, and flow into reporting systems
  • Support the preparation and maintenance of standardized data templates and assist in transforming data into formats required for sustainability reporting systems
  • Support the delivery of accurate and timely sustainability reporting aligned to internal and external requirements
  • Assess and validate that evolving sustainability data requirements (e.g., regulatory changes, transition from estimated to actual data) are supported by existing data structures and reporting systems
  • Support and coordinate user acceptance testing (UAT) activities, ensuring sustainability data outputs are aligned with business requirements and validated prior to reporting and downstream use
  • Identify and resolve data quality issues (e.g., inconsistencies, missing data, and unit conversions) and document data sources, processes, and assumptions to support transparency and audit readiness
  • Support the ongoing monitoring and validation of sustainability data, helping ensure quality issues are identified and resolved proactively to maintain audit readiness and reporting accuracy
  • Collaborate with cross-functional teams (e.g., EHS, IT, procurement, facilities, packaging engineering, and operations) to understand data sources and improve data collection, traceability, and consistency
  • Support efforts to improve and automate sustainability data collection processes to reduce manual effort and increase scalability
  • Support the collection, structuring, and validation of packaging and material composition data required for emerging regulatory requirements (e.g. EPR, recyclability, plastics disclosure)
  • Assist in mapping sustainability and packaging-related data to evolving regulatory and reporting requirements across global jurisdictions
  • Support the development of scalable data structures and governance processes for sustainability data
     

Travel Requirements:

  • Occasional domestic and international travel may be required (5-10%+ annually)
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