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Internship Data Scientist Risk Jobs in Rochester, NY

Tompkins Community Bank

Applied AI Engineer

Batavia, NY · On-site

$105K/yr

AI Governance, Reliability, and Risk Management - Ensure AI solutions meet security, compliance ... Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning ...

L3HHCM20

Scientist, Systems Engineer

Rochester, NY · On-site

$133K - $247K/yr

Job Title: Scientist, Systems Engineering Job Code: 40371 Job Location: Rochester, New York Job ... off, risk assessments and mitigations, end item data package generation efforts Mentor and train ...

L3HHCM20

Senior Manager, Image Science Engineer

Rochester, NY · On-site +1

$133K - $247K/yr

... and data exploitation solutions. Provides technical leadership, mentorship, and oversight across ... Support technical reviews, risk assessments, and root cause/corrective action activities. * Mentor ...

King's Daughters

Financial Analyst

Pavilion, NY

Perform regular internal audits of compensation data to ensure strict adherence to regulatory ... Volunteer work and internships for academic credit are not counted. An equivalent combination of ...

King's Daughters

Attorney

Pavilion, NY

Assists Risk Management and Human Resources on litigation and benefits administration. Supports ... Volunteer work and internships for academic credit are not counted. Certifications & Licensures ...

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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 Aug 14, 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 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 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:

Internship Data Scientist Risk jobs near you

AI Solutions Design Manager - Hybrid

Mindex

Rochester, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New

Job description

Mindex is looking for an AI Solutions Design Manager to lead the strategy, design, and delivery of AI and Generative AI solutions that solve real business challenges and improve operational performance. This role blends hands-on technical expertise with strategic leadership — you'll guide cross-functional teams to identify high-value opportunities, architect scalable AI/GenAI systems, and drive successful adoption across the organization.

You'll be equally comfortable setting direction at the roadmap level and getting into the weeds on solution architecture, model selection, and RAG/agent design — while also serving as a trusted advisor who can translate complex AI concepts into language business leaders can act on.

Compensation

$160,000 - $180,000, plus a 20% bonus based on company performance goals.

What You'll Accomplish

Strategy & Innovation

  • Develop and maintain an AI/GenAI vision and roadmap aligned to business goals, identifying high-value use cases across business units.
  • Evaluate emerging AI technologies — LLMs, copilots, multimodal models, autonomous agents, automation platforms — and recommend practical, prioritized applications.
  • Establish standards and reusable design patterns for prompt engineering, model tuning, and GenAI solution architecture.

Solution Architecture & Delivery

  • Lead end-to-end design of AI/ML and GenAI solutions from concept to production, translating business requirements into technical specifications, data flows, and architectures.
  • Architect GenAI-powered applications such as chatbots, copilots, summarization engines, and content-generation workflows.
  • Oversee development of reusable GenAI components — prompt libraries, embeddings, vector search, knowledge models, and RAG systems — and guide model selection and fine-tuning decisions.
  • Partner with data engineering and IT teams to ensure solutions are scalable, maintainable, and meet enterprise standards for security, privacy, and governance.

Project & Team Leadership

  • Manage the AI/GenAI project portfolio, including scoping, planning, resourcing, and execution.
  • Lead cross-functional teams of data scientists, engineers, analysts, and business stakeholders through agile delivery cycles.
  • Serve as a trusted advisor to business leaders on AI capabilities, risks, and best practices, and support change management for organization-wide adoption.

Governance & Responsible AI

  • Ensure AI/GenAI solutions meet ethical, fairness, privacy, and regulatory standards, including content filtering, hallucination mitigation, and usage guardrails.
  • Define acceptable-use policies and risk frameworks for internal GenAI tools, and maintain documentation, monitoring, and lifecycle management processes.
  • Oversee adoption and governance of enterprise GenAI platforms (Microsoft 365 Copilot, Azure OpenAI, GitHub Copilot, etc.) in partnership with security and infrastructure teams.

Enablement & Operationalization

  • Develop training programs on responsible AI/GenAI usage and coach teams on effective prompt engineering and human-in-the-loop workflows.
  • Define KPIs to measure GenAI performance and business value, and monitor for model drift, usage patterns, hallucination rates, and user satisfaction.
  • Lead continuous improvement cycles for AI/GenAI systems based on data-driven insights.

Requirements

  • Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or a related field.
  • 7+ years of experience in AI/ML, data analytics, or software engineering, including 3+ years leading technical teams or designing enterprise AI solutions.
  • Strong understanding of machine learning, LLMs, NLP, deep learning, and automation technologies.
  • Hands-on experience with modern AI platforms (Azure ML, Databricks, OpenAI, AWS, etc.).
  • Proven ability to translate business needs into scalable technical solutions.
  • Strong leadership, communication, and stakeholder engagement skills.

Preferred

  • Experience deploying enterprise GenAI or LLM-based applications.
  • Cloud certifications (Azure, AWS, GCP).
  • Experience with MLOps, RAG, vector databases, and prompt engineering.
  • Previous leadership experience across hybrid technical/business teams.

Success Indicators

  • Delivery of AI/GenAI solutions with measurable business impact.
  • Strong adoption and satisfaction across business teams.
  • Advancement of organizational AI maturity and literacy.
  • Demonstrated innovation and ROI from AI-enabled transformation.

Benefits

  • Hybrid
  • Medical, Dental, and Vision Insurance
  • 401(k) with Company Match
  • Company-Paid Life and Disability Insurance
  • Professional Development Opportunities

Additional Information

  • Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time.

Physical Requirements/Conditions

  • Prolonged periods sitting at a desk and working on a computer.
  • No heavy lifting is expected. Exertion of up to 10 lbs.