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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 ยท 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 ยท 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 ...

Staff Wetland Scientist 1

Rochester, NY ยท 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 ...

... strengthening scientific and compliance capabilities, and fostering a culture of engagement ... Communicate Quality and Compliance strategy, progress, and risk mitigation plans to senior ...

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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 Jun 9, 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 job categories do people searching Internship Data Scientist Risk jobs in Rochester, NY look for? The top searched job categories for Internship Data Scientist Risk jobs in Rochester, NY are:
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:
Infographic showing various Internship Data Scientist Risk job openings in Rochester, NY as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $162,818 per year, or $78.3 per hour.
Data Platform Engineer

Data Platform Engineer

Avani Technology Solutions, Inc.

Rochester, NY โ€ข On-site

$113K - $135K/yr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Position: Data Platform Engineer
Location: Rochester, NY
Duration: 12+ Months
Hadoop and Informatica experience are a MUST
Description:
The Data Platform Engineer engages in the design, development and maintenance of the big data platform. This platform hosts structured and non-structured data sets that support various business operations and enable data-driven decisions. The role involves administering various data-hub ecosystem open source software tools along with other vendor supported tools like HortonWorks Hadoop, CISCO DV, IBM COGNOS tools. The DPE will work closely with Data Scientists, infrastructure Administrators and Data Platform Architects to ensure the platform meets business demands.
Essential Resource Responsibilities / Accountabilities: Level I- Installs and /or upgrades, configures, administers and troubleshoots the data hub software environment in order to achieve a reliable, highly available, well performing system- Provides direct technical support to data warehouse user community, and triages support to appropriate personnel when technical support is not sufficient.- Develops standards, policies and procedures for the form, structure and attributes of the data warehouse tools and systems - Develops data/information quality metrics- Develops processes to monitor cluster performance and resource usage- Works with Server Engineers to install new nodes, resolve node failures, and apply patches and upgrades- Maintains processes that feed data from various systems across the enterprise, ensuring data quality and process efficiency- Follows and helps streamline procedures for provisioning access to the BI system and establishing security Minimum Resource Qualifications:- Bachelor's degree in Information Technology, Computer Science, Software Engineering, or closely related field (or four additional years related work experience in lieu of bachelors)- Related work experience (i.e. Co-ops/Internships) preferred- Ability to take initiative and have a strong vision for driving large scale distributed data platforms- Experience with ecosystem components such as Hadoop, Cisco DV, Cognos, etc- Familiarity with Linux system administration, Linux scripting and networking skills- Proficiency in a programming language such as Python or Java is a plus- Experience with relational and NoSQL databases, including modeling and writing complex queries is a plus- MUST have EXCELLENT communication and
analytical skills Level I - Ability to perform routine tool maintenance working with the vendors and others on the team- Ability to identify data warehouse application and data issues- Monitor system uptime and performance- Escalate appropriately to management and/or more senior Tool Administrators- Minimum of 3 years' experience in tool administration- Demonstrated experience with Data Warehousing- Proactively identify and address risks on system before they become systems issues- Research and resolve data warehouse application and data issues
Physical Requirements- Ability to travel across regions Physical Requirements: In support of the Americans with Disabilities Act, this resource requirements document lists only those responsibilities and qualifications deemed essential to the position Equal Opportunity
Employer: As such, requires all suppliers of temporary staffing resources to affirm the rights of every person to participate in all aspects of employment without regard to race, color, sex/gender, age, disability, religion, creed, citizenship status, national origin, veteran status, military status, marital status, familial status, domestic violence victim status, sexual orientation, gender identity, predisposing genetic characteristic, genetic information, or any other status protected under the law