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Internship Azure Data Scientist Jobs in Virginia

The Midtown Group

Be Seen First

Data Scientist

Rosslyn, VA · On-site

$60/hr

We are seeking a Data Scientist to support a federal government client by applying advanced data ... Use Azure DevOps and/or GitHub to support source control, CI/CD pipelines, and Agile development.

Posted today

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Data Scientist Location: Merrifield, VA(Hybrid) Duration: 12 Months Contract Responsibilities ... Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft ...

Venturegloballng

Senior Data Scientist

Arlington, VA

$180K - $230K/yr

Senior Data Scientist Located: Arlington Summary The Senior Data Scientist is responsible for ... Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.

RecruitTalent LLC.

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or ...

Laksan Technologies

Data Scientist

Richmond, VA · On-site

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 ...

S Linx LLC

Azure Data Consultant

Reston, VA · On-site

Azure Data Warehouse, Azure Logic Apps, Azure Functions, Azure Data Factory, SQL Server Minimum Requirements: · Bachelor's degree in a quantitative or scientific field such as computer science ...

Steampunk

Data Scientist

Mclean, VA

$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 ...

Beyond SOF

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 ...

Beyond SOF

Data Scientist 4

Richmond, VA · On-site

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 ...

Steampunk

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 ...

Steampunk

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 ...

Phase2 Technology

Data Scientist, Mid

Springfield, VA · On-site

$77.60 - $176/hr

Experience with cloud‑native ML platforms such as AWS SageMaker or Azure ML. * Experience ... Azure Data Scientist Associate, AWS Machine Learning Specialty, or TensorFlow Developer ...

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Internship Azure Data Scientist information

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 the most commonly searched types of Azure Data Scientist jobs in Virginia?

The most popular types of Azure Data Scientist jobs in Virginia are:

What are popular job titles related to Internship Azure Data Scientist jobs in Virginia?

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

What job categories do people searching Internship Azure Data Scientist jobs in Virginia look for?

The top searched job categories for Internship Azure Data Scientist jobs in Virginia are:

What cities in Virginia are hiring for Internship Azure Data Scientist jobs?

Cities in Virginia with the most Internship Azure Data Scientist job openings:

Internship Azure Data Scientist jobs near you

Data Scientist

The Midtown Group

Rosslyn, VA • On-site

$60/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 hours ago

Posted today

Be Seen First

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Job description

We are seeking a Data Scientist to support a federal government client by applying advanced data analytics, machine learning, and artificial intelligence to complex datasets and mission-critical challenges. The Data Scientist will develop data pipelines, integrate diverse data sources, build analytical models, and translate complex findings into actionable insights.


Responsibilities

  • Develop, manage, and optimize automated data pipelines to support reliable analytics and data quality.
  • Extract, clean, transform, normalize, and validate structured and unstructured data.
  • Integrate data from flat files, relational databases, APIs, external systems, and other sources using JDBC/ODBC, REST APIs, and web scraping.
  • Develop data and analytics solutions using AWS and/or Azure, including Databricks, Azure Data Factory, and Azure Data Lake.
  • Use Azure DevOps and/or GitHub to support source control, CI/CD pipelines, and Agile development.
  • Apply Python, SQL, R, and/or JavaScript to develop datasets, models, dashboards, visualizations, and reports.
  • Apply advanced analytics including machine learning, AI, NLP, predictive analytics, statistical modeling, and data/text mining.
  • Develop, train, evaluate, deploy, and maintain machine learning and AI models.
  • Use PySpark/PySpark SQL to process and analyze large-scale datasets.
  • Identify trends, anomalies, patterns, and risks to support audit, investigative, oversight, and fraud, waste, and abuse activities.
  • Translate technical findings into clear narratives, recommendations, visualizations, and presentations.
  • Develop technical documentation, requirements, test plans, methodologies, and training materials.
  • Collaborate with technical teams, stakeholders, and management and provide guidance on data access, quality, storage, and analytics.


Qualifications

Required

  • US Citizenship required
  • 1+ year of experience working with AWS and/or Azure services, such as Databricks, Azure Data Factory, and Azure Data Lake.
  • Experience with Azure DevOps and/or GitHub, CI/CD pipelines, and Agile methodologies.
  • Experience developing and optimizing automated data pipelines and ETL/ELT processes.
  • Proficiency with Python and SQL; experience with R and/or JavaScript is a plus.
  • Experience working with structured and unstructured data and integrating multiple data sources.
  • Knowledge of machine learning, artificial intelligence, NLP, predictive analytics, statistical analysis, or data/text mining.
  • Strong analytical, problem-solving, technical writing, and communication skills.
  • Ability to work independently and effectively within a collaborative team environment.

Preferred

  • Experience with contract, procurement, and accounts payable (AP) data to identify trends, anomalies, and potential risks.
  • Experience using PySpark/PySpark SQL for large-scale data processing.
  • Experience with data lakes, data lakehouses, relational databases, and business intelligence tools.
  • Experience supporting federal audit, investigation, oversight, fraud, waste, or abuse-related activities.
  • Experience developing predictive models, NLP solutions, dashboards, and investigative or analytical visualizations.
  • Experience presenting technical findings, training materials, or conference presentations to large audiences.


The Midtown Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are a small, woman-owned business certified by the Women’s Business Enterprise National Council (WBENC). Operating from our headquarters in Washington, DC, we provide trusted staffing services nationwide. Our clients include thousands of the most prestigious Fortune 500 companies, law firms, financial organizations, tech innovators, non-profits, and lobbying firms, as well as federal, state and local government agencies.

Company Description

The office is a collaborative working culture, with areas of professional growth!