1

Internship Data Scientist Risk Jobs in Rochester, NY

Prepare applicable permit applications, risk assessments and technical documents including ... Tabulate and prepare data for written reports. * May assist with report preparation by summarizing ...

Assistant Scientist

Rochester, NY · On-site

$22.25 - $26.75/hr

Prepare applicable permit applications, risk assessments and technical documents including ... Tabulate and prepare data for written reports. * May assist with report preparation by summarizing ...

Sr. Image Scientist

West Henrietta, NY · On-site

$93K - $125K/yr

Support and influence project planning efforts including task scoping, work estimation, and risk ... Mentor and coach less experienced engineers, co-ops, and interns; promote a culture of technical ...

Support and influence project planning efforts including task scoping, work estimation, and risk ... Mentor and coach less experienced engineers, co-ops, and interns; promote a culture of technical ...

Apply Early

Staff Wetland Scientist 1

Rochester, NY · On-site

$45K - $65K/yr

Conduct routine data collection, analysis, and reporting using approved standard procedures ... internships included. * Experience with conducting natural resources field surveys and/or ...

2026 Fall Internship

Ontario, NY · On-site

$31K - $72K/yr

... data analysis, supplier management, and more. Education Requirements ... Currently enrolled in optics, engineering, industrial design engineering, materials science ...

Apply Early

next page

Showing results 1-20

Internship Data Scientist Risk information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do internship data scientist risk jobs pay per year?

As of Jul 4, 2026, the average yearly pay for internship data scientist risk 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 an Internship Data Scientist Risk do?

An Internship Data Scientist Risk assists in analyzing data to identify, assess, and mitigate risks within an organization, often in fields like finance, insurance, or technology. They work with senior data scientists to build predictive models, analyze trends, and generate insights that support risk management strategies. Typical tasks include data cleaning, statistical analysis, and reporting findings to help the company make informed decisions. This internship provides hands-on experience with real-world data and risk scenarios, preparing interns for more advanced data science or risk analysis roles.

What are the key skills and qualifications needed to thrive as an Internship Data Scientist in Risk, and why are they important?

To thrive as an Internship Data Scientist in Risk, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework in mathematics, data science, or a related field. Familiarity with machine learning libraries (e.g., scikit-learn), data visualization tools, and database management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help distinguish candidates in this role. These skills are vital for accurately analyzing risk data, developing predictive models, and clearly presenting findings to support risk management decisions.

What types of projects can an internship data scientist in risk expect to work on, and how do these contribute to the organization's goals?

Internship data scientists in risk typically work on projects such as developing predictive models to assess credit risk, analyzing transaction data to detect fraud, and generating insights to improve risk management strategies. These assignments often involve collaborating with experienced data scientists, risk analysts, and business teams to ensure that models are both accurate and actionable. By contributing to these projects, interns help the organization make informed decisions that minimize financial losses and ensure regulatory compliance. The hands-on experience not only builds technical skills but also provides valuable exposure to real-world challenges in the risk domain.
What cities near Rochester, NY are hiring for Internship Data Scientist Risk jobs? Cities near Rochester, NY with the most Internship Data Scientist Risk job openings:
Sustainability Data & Reporting Analyst

Sustainability Data & Reporting Analyst

Cooper Companies

Victor, NY

$71K - $95K/yr

Full-time

Posted 12 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)
    Â