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Internship Azure Data Scientist Jobs in Raleigh, NC

Dlapiper

Data Engineer

Raleigh, NC

$111K - $133K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ... Bachelor's Degree in Computer Science, Engineering, or related field. Minimum Years of Experience ...

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or ...

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or ...

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or ...

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or ...

DPR Construction

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111K - $133K/yr

Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data ... sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great ...

DPR Construction

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111K - $133K/yr

Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data ... sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great ...

Pwc

Data Engineer - Manager

Raleigh, NC · On-site

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

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... Azure, Power BI, Dynamics 365, and modern data engineering practices. Additional duties as assigned. EDUCATION & EXPERIENCE Bachelor's degree in Computer Science, Information Systems, Data ...

Jobtailor

Data Solutions Engineer

Durham, NC · On-site

$110 - $160/hr

Bachelor's degree in MIS, Computer Science, Engineering, or equivalent experience * Proficiency ... Experience with Azure Databricks, Delta Lake, Delta Live Tables (DLT), Azure Data Factory (or ...

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All JobsAzure Data Scientist JobsInternship Azure Data Scientist JobsInternship Azure Data Scientist Jobs in Raleigh, NC

Internship Azure Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

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

As of Aug 22, 2026, the average yearly pay for internship azure data scientist in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 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 Raleigh, NC?

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The top searched job categories for Internship Azure Data Scientist jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Internship Azure Data Scientist jobs?

Cities near Raleigh, NC with the most Internship Azure Data Scientist job openings:

Internship Azure Data Scientist jobs near you

Sr Data scientists corp to corp jobs urgent need

Tech Mirrors

Cary, NC • On-site

$130 - $210/hr

Other

Posted 10 days ago

Job description

Role: Sr Data scientists

Local to Cary NC only

Key Responsibilities
  • Team Leadership: Lead the solution and a team of data scientists delivering AI and ML solution for marketing and business engagement use cases
  • Ownership: Accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
  • Planning and Business alignment: Lead the planning and execution of data science use cases, ensuring alignment with business goals and objectives.
  • Model Development: Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases
  • Data Analysis: Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
  • Collaboration: Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
  • Platform Integration: Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • Stakeholder Communication: Visualize data, create reports, and present findings to senior management and cross-functional teams.
  • Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).
  • Research and Innovation: Stay up to date with the latest advances in AI, Data Science, and Machine Learning.
  • ML-Ops Best Practices: Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
Essential Business Experience and Technical Skills Required
  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
  • 8+ years of overall experience in AI/ML engineering and/or data science.
  • 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
  • Proven experience designing, deploying, and operating production ML and/or GenAI solutions, including APIs, batch, and real-time inference.
  • Experience in developing Machine Learning models using Python (preferably in the cloud)
  • Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.
  • Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
  • Experience with Dominos, Power BI, and/or Azure ML
  • Statistical Knowledge: A strong understanding of statistics and mathematics is essential for data analysis and prediction.
  • Use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes
  • Very good presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations & results
  • Very good problem solver and excellent communication skills – both written and verbal
Preferred
  • Experience with employee benefits plans is a plus
  • Hands-on experience with cloud platforms (Azure/Databricks).
  • Hands-on expertise with Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs.
  • Strong understanding of prompt engineering, fine-tuning, and evaluation of generative models for real-world applications.
  • Ability to build, optimize, and scale GenAI pipelines for tasks such as document Q&A, summarization, chatbots, and knowledge retrieval.
Essential Skills: Data Science Desirable Skills

Keyword: Skills: Digital : Data Science

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