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Internship Azure Data Scientist Jobs (NOW HIRING)

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics * 6+ years of ...

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS ... Azure Data Explorer. Administration skills a plus * Azure Cloud Technologies: Azure Data Factory ...

Fabric supports Azure OpenAI and related AI services through integrated tooling. Support AI-driven ... Required Qualifications Bachelor's or Master's degree in Data Science, Computer Science ...

... Azure Data Lake / Delta Lake are reliable, scalable, and aligned with model refresh cadence requirements. Qualifications : Required : • 8+ years in data science or applied ML roles • 3+ years in ...

Data Scientist 4

Richmond, VA · On-site

$90 - $140/hr

This Data Scientist position with the Professional Services Procurement Office will be an important ... Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake * Cloud platforms: Amazon Web ...

This Data Scientist position with the Professional Services Procurement Office will be an important ... Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake Cloud platforms: Amazon Web ...

Azure Data Lead

Jersey City, NJ

$119K - $143K/yr

... and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies. Title: Azure Data Lead Location: NJ (Day 1 Onsite) Overview This role is for an ...

New

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ...

Data Scientist

Chicago, IL · On-site

$139K - $144K/yr

AWS, Azure, and GCP Data Lake architecture. * GitHub and GitLab. * Jira, Asana, and Confluence To Apply: Submit Resume to: www.edelman.com/careers. Ref Job Title: Data Scientist $139,818.00 - $144 ...

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

AWS, Azure, and GCP Data Lake architecture. * GitHub and GitLab. * Jira, Asana, and Confluence To Apply: Submit Resume to:www.edelman.com/careers. Ref Job Title: Data Scientist $139,818.00 - $144,818 ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Azure Data Lead

Jersey City, NJ

$119K - $143K/yr

... and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies. Title: Azure Data Lead Location: NJ (Day 1 Onsite) Overview This role is for an ...

New

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Bachelor's or master's degree in computer science, Data Engineering, or related field. * 7+ years of experience in data engineering or cloud architecture. * Deep expertise in Azure services: Data ...

Keylent Inc is seeking a Data Scientist to design, develop, optimize, and maintain Cloud Data ... Responsibilities : • Design, develop, optimize, and maintain Cloud Data Platform (Azure ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior consulting and business development experience a plus

Showing results 41-60

Internship Azure Data Scientist information

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$46K

$165K

$243.5K

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

As of Sep 3, 2026, the average yearly pay for internship azure data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.

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Infographic showing various Internship Azure Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Full-time

Re-posted 18 days ago


Job description

Job Summary:
ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will work with various departments to develop solutions for customers and ensure product quality and performance are met.
Responsibilities:
• Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements
• Develop data models top optimize and improve work of e-commerce functions
• Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance
• Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance
• Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics
• Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape
Qualifications:
Required:
• Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science).
• Must have data modeling, predictive analytics and/or machine learning experience
• 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software
• MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS
• Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI
• This is not a developer position, but you must possess strong SQL coding skills
• Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills
Preferred:
• Experience in data mining and understanding of machine-learning and operations research is an advantage
• Proficiency in Excel, PowerPoint, MS Access is a plus
• Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark
• Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset
• Knowledge of Python will be a plus
Company:
American Recruiting & Consulting Group is a staffing agency that offers recruitment, consulting, and it professional services to industries. Founded in 1982, the company is headquartered in Weston, USA, with a team of 51-200 employees. The company is currently Growth Stage.