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Internship Azure Data Scientist Jobs in Rochester, NY

Ralliant

Data Scientist - Analytics as a Service

Fairport, NY · On-site

$104.30 - $193.70/hr

Data Scientist - Analytics as a ServicePosition Summary The Senior Data Scientist is responsible ... Azure Machine Learning * AWS SageMaker * MLOps * LLMs and Generative AI Success Measures * Within ...

New

Pwc

Data Engineer - Manager

Rochester, NY

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Work with architects, operations teams, and data scientists to define data requirements and ... and Azure Data Factory. Develop automation frameworks and CI/CD pipelines using tools like ...

Pwc

Data Engineer - Senior Associate

Rochester, NY · On-site

$77K - $202K/yr

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer ...

Novocure

Data Architect

Rochester, NY · On-site

$63.25 - $81.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ... Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform

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All JobsAzure Data Scientist JobsInternship Azure Data Scientist JobsInternship Azure Data Scientist Jobs in Rochester, NY

Internship Azure Data Scientist information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

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

As of Aug 20, 2026, the average yearly pay for internship azure data scientist 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 Azure Data Scientist?

An Internship Azure Data Scientist is an entry-level or student role that involves working with data science tools and techniques on Microsoft Azure's cloud platform. Interns in this position typically assist with data analysis, machine learning model development, and data pipeline creation using Azure services such as Azure Machine Learning, Data Factory, and Databricks. The internship provides hands-on experience with cloud-based data science workflows and helps interns build practical skills for a career in data science. Responsibilities may include cleaning and preparing data, training models, and visualizing results to support business decisions. This role is ideal for students or recent graduates interested in cloud computing and analytics.

What types of projects and responsibilities can I expect as an internship Azure Data Scientist?

As an Azure Data Scientist intern, you'll typically work on data-driven projects such as developing machine learning models, preparing and cleaning datasets, and performing exploratory data analysis using Microsoft Azure tools. You'll likely collaborate closely with data engineers, software developers, and senior data scientists to integrate solutions into cloud environments. Interns often participate in regular team meetings, present findings, and may contribute to optimizing existing data pipelines. This hands-on experience provides a strong foundation for a future career in cloud-based data science roles.

What are the key skills and qualifications needed to thrive as an internship Azure Data Scientist, and why are they important?

To thrive as an Internship Azure Data Scientist, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, often supported by coursework or a degree in a STEM field. Familiarity with Microsoft Azure cloud services, data modeling tools, and machine learning frameworks is typically expected, and certifications like Microsoft Certified: Azure Data Scientist Associate can be beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns collaborate and convey technical findings clearly. These skills ensure interns can contribute meaningfully to data-driven projects while adapting quickly to the evolving demands of cloud-based analytics environments.

What is the difference between Internship Azure Data Scientist vs Data Analyst Intern?

AspectInternship Azure Data ScientistData Analyst Intern
Required SkillsAzure cloud services, basic data science, programming (Python, R), machine learning fundamentalsData visualization, SQL, Excel, basic statistical analysis
Work EnvironmentTech companies, cloud-focused teams, project-basedBusiness teams, reporting, data cleaning and analysis
CertificationsAzure Fundamentals, basic data science coursesNone typically required, basic Excel/SQL knowledge

Internship Azure Data Scientist roles focus on applying machine learning and cloud-based data science techniques using Azure services, often in tech or cloud-centric environments. Data Analyst Interns primarily handle data cleaning, visualization, and reporting tasks within business contexts. While both roles require foundational data skills, Azure Data Scientist internships emphasize cloud and machine learning expertise, whereas Data Analyst Internships focus on data interpretation and presentation.

What are popular job titles related to Internship Azure Data Scientist jobs in Rochester, NY?

For Internship Azure Data Scientist jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Internship Azure Data Scientist jobs in Rochester, NY look for?

The top searched job categories for Internship Azure Data Scientist jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Internship Azure Data Scientist jobs?

Cities near Rochester, NY with the most Internship Azure Data Scientist job openings:

Internship Azure Data Scientist jobs near you
Infographic showing various Internship Azure Data Scientist job openings in Rochester, NY as of August 2026, with employment types broken down into 13% Internship, 13% As Needed, 61% Full Time, and 13% Temporary. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $162,818 per year, or $78.3 per hour.

Data Scientist - Analytics as a Service

Ralliant

Fairport, NY • On-site

Full-time

Posted 29 days ago

Job description

Data Scientist - Analytics as a Service
Position Summary
The Senior Data Scientist is responsible for developing the advanced analytics, machine learning models and AI algorithms that power Qualitrol's Analytics as a Service portfolio. Working closely with the Product Owner, Product Engineers and Data Engineer, this individual transforms industrial data into scalable analytics services that deliver measurable customer value.
Unlike a traditional research-oriented data science role, this position is expected to rapidly move algorithms from experimentation into production, continuously improving model performance through customer feedback, operational data and AI-assisted development practices. Success requires balancing scientific rigor with startup execution speed.
Primary Responsibilities
Analytics & Model Development
Develop advanced analytics for:
  • Rotating machine condition monitoring
  • Grid monitoring
  • Predictive maintenance
  • Fault detection
  • Anomaly detection
  • Asset health assessment
  • Failure prediction
  • Fleet benchmarking

Design algorithms that are accurate, explainable and production-ready.
Data Mining & Feature Engineering
Extract insights from:
  • Sensor data
  • Time-series data
  • Event logs
  • Operational history
  • Maintenance records
  • Customer operating conditions

Develop robust feature engineering pipelines to improve model accuracy and scalability.
AI & Machine Learning
Develop and optimize:
  • Machine learning models
  • Statistical models
  • Generative AI applications
  • Large Language Model integrations
  • Predictive analytics
  • Recommendation engines

Leverage AI-assisted tools to accelerate experimentation, model development and validation.
Production Deployment
Partner with Product Engineers to:
  • Deploy models into production
  • Monitor model performance
  • Improve inference accuracy
  • Reduce computational costs
  • Continuously retrain models

Ensure analytics are scalable, reliable and maintainable.
Customer Value Creation
Partner with Product Owner and Customer Success to understand customer use cases and translate them into differentiated analytics capabilities.
Use customer feedback and operational data to continuously improve algorithms and business outcomes.
Required Experience
  • Master's or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics or related field
  • 5+ years developing machine learning or industrial analytics solutions
  • Strong Python programming experience
  • Experience with cloud-based ML environments
  • Experience deploying production AI models
  • Strong statistical and analytical skills
Preferred Experience
Experience with:
  • Industrial AI
  • Utilities
  • Rotating machinery
  • Power systems
  • Time-series analytics
  • Azure Machine Learning
  • AWS SageMaker
  • MLOps
  • LLMs and Generative AI
Success Measures
Within 12 months:
  • Multiple production analytics models deployed
  • Measurable improvement in prediction accuracy
  • Repeatable MLOps pipeline established
  • Analytics capabilities contributing to customer adoption
  • Continuous model improvement process operational

#LI-PW1
Ralliant Corporation Overview
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life - faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
About Qualitrol
QUALITROL manufactures monitoring and protection devices for high value electrical assets and OEM manufacturing companies. Established in 1945, QUALITROL produces thousands of different types of products on demand and customized to meet our individual customers' needs. We are the largest and most trusted global leader for partial discharge monitoring, asset protection equipment and information products across power generation, transmission, and distribution. At Qualitrol, we are redefining condition-based monitoring.
We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@Ralliant.com.
Pay Range
The salary range for this position (in local currency) is 104300.00-193700.00

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