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Internship Data Scientist Graduate Jobs in Rochester, NY

L3HHCM20

Scientist, Systems Engineer

Rochester, NY · On-site

$133K - $247K/yr

... item data package (EIDP) generation efforts. Essential Functions: Lead the development and ... Graduate Degree and a minimum of 10 years of prior related experience. In lieu of a degree, minimum ...

L3Harris Technologies

Scientist, Systems Engineer

Victor, NY · On-site

$133K - $247K/yr

... item data package (EIDP) generation efforts. Essential Functions: • Lead the development and ... Graduate Degree and a minimum of 10 years of prior related experience. In lieu of a degree, minimum ...

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All JobsData Scientist Graduate JobsInternship Data Scientist Graduate JobsInternship Data Scientist Graduate Jobs in Rochester, NY

Internship Data Scientist Graduate information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

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

As of Aug 7, 2026, the average yearly pay for internship data scientist graduate 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 is an internship data scientist graduate?

An Internship Data Scientist Graduate is a recent graduate or student in a data science or related field who is gaining practical experience through an internship. Their role typically involves working with large datasets, applying statistical analysis, building machine learning models, and supporting data-driven decision making within a company. This internship allows them to develop technical skills, learn industry tools and practices, and gain exposure to real-world business problems. It often serves as a stepping stone to a full-time data science position after graduation.

How to get an internship as a data scientist?

To secure a data scientist internship, candidates should develop strong skills in programming languages like Python or R, gain experience with data analysis and machine learning, and build a portfolio of projects. Applying through company career portals, leveraging university connections, and networking on professional platforms like LinkedIn can improve chances. Relevant certifications and a solid understanding of statistical concepts also enhance eligibility.

What types of projects and team collaborations can I expect as an internship data scientist graduate?

As an Internship Data Scientist Graduate, you'll typically work on real-world projects such as data cleaning, exploratory analysis, and building predictive models under the supervision of experienced data scientists. You'll collaborate closely with cross-functional teams, including engineers, business analysts, and product managers, to understand project requirements and deliver actionable insights. Interns are often encouraged to present their findings and contribute to team meetings, providing an excellent opportunity to develop both technical and communication skills. You'll also receive mentorship and constructive feedback, which can help accelerate your learning and professional growth in the data science field.

What is the difference between Internship Data Scientist Graduate vs Data Scientist?

AspectInternship Data Scientist GraduateData Scientist
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldBachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field; often requires some experience
Work EnvironmentTemporary, entry-level position often in a corporate or research setting, focused on learning and support tasksFull-time role with responsibilities including data analysis, modeling, and project development
Employer & Industry UsageUsed by companies for training and talent pipeline; common in tech, finance, healthcareEstablished role in various industries including tech, finance, healthcare, and consulting

The main difference is that an Internship Data Scientist Graduate is a temporary, entry-level position aimed at gaining experience, while a Data Scientist is a full-time professional role with ongoing responsibilities and expertise in data analysis and modeling.

What are the key skills and qualifications needed to thrive as an internship data scientist graduate?

To thrive as an Internship Data Scientist Graduate, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or coursework in data science or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow) is highly valuable, and exposure to cloud platforms like AWS or Azure is a plus. Strong problem-solving skills, curiosity, and effective communication help you stand out by enabling you to interpret data insights and share findings with non-technical stakeholders. These skills ensure you can extract meaningful insights from data and contribute effectively to projects in a collaborative environment.
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Internship Data Scientist Graduate jobs near you

Scientist, AI & Cloud Security Architect

L3HHCM20

Rochester, NY • On-site

$153K - $284K/yr

Full-time

Medical, Retirement, PTO

Posted 21 days ago

Job description

Job Title: Scientist, AI & Cloud Security Architect

Job Code: 40743

Job Location: (On Site) Melbourne, FL; Salt Lake City, UT; Greenville, TX; Plano, TX; Rockwall, TX; Clifton, NJ; Rochester, NY  

Job Schedule: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

The Scientist is responsible for defining and driving the enterprise security strategy, target-state architecture, and governance model for AI, cloud and container platforms across Azure and AWS. Reporting within the CISO organization, this role focuses on secure-by-design architecture, enterprise guardrails, risk-informed adoption patterns, and security integration for modern platforms.

This leader partners closely with Security Architecture, Enterprise Architecture, Infrastructure and Data/AI teams to establish secure, scalable, and reusable platform patterns that enable rapid, compliant adoption of AI and cloud capabilities across the enterprise. The role serves as a strategic bridge between cybersecurity, enterprise technology, and engineering organizations to ensure AI, cloud, and container platform innovation is enabled with strong security, resilience, and governance foundations.

Essential Functions:

AI Security Strategy, Governance & Architecture:

  • Develop enterprise AI security and governance frameworks covering model lifecycle, data boundaries, and risk controls.
  • Create AI reference architectures ensuring secure, compliant integration of generative and cloud-native AI capabilities.
  • Advise leadership on emerging AI technologies, associated risks, and secure platform adoption strategies.

Cloud Security Strategy & Architecture:

  • Define multi-cloud security strategy, reference architectures, and enterprise guardrails for Azure, AWS, and hybrid environments.
  • Standardize observability, networking, and compliance architectures across cloud platforms.
  • Lead design reviews and maintain cloud architectural patterns enabling secure-by-design adoption.
  • Partner with software engineering teams to embed security guardrails into their active implementations.

Container Platform Security

  • Define security architecture, controls, and governance for Kubernetes, container orchestration, and runtime environments.
  • Establish secure build, registry, and deployment patterns for containers across cloud and onprem platforms.
  • Integrate container security posture, registry/image scanning, host OS scanning, and workload protection into enterprise standards.

Collaboration

  • Work closely with stakeholders inside of IT and within other business functions to enforce the organizational security strategy.
  • Translate complex technical issues into clear, actionable insights for stakeholders.
  • Contribute to security standards, architectural guidance and policy improvements.

Qualifications:

  • Bachelor's Degree and minimum 12 years of prior relevant experience. Graduate Degree and a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience.

Preferred Skills: 

  • Familiarity with hybrid cloud connectivity patterns, network segmentation, and secure landing zones.
  • Strong communication and executivelevel advisory capabilities.
  • Thought leadership in AI transformation, cloud modernization, container platform initiatives.
  • Experience contributing or leading security, architecture or governance boards.
  • Knowledge of Zero Trust frameworks and enterprisegrade security architectures.
  • Ability to synthesize complex technical topics into actionable strategies for diverse stakeholders.

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $153,000-$284,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $133,000-$247,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. 

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