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Data Science Analyst Intern Jobs in Virginia (NOW HIRING)

Description Data Science Analyst AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm with offices in the U.S., India ...

New

Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following: * Programming languages such as Python(inclusive of libraries that are used in ...

This role will assist in gathering detailed data and provide recommendations management. The ... computer science, or a related area * Must be a US citizen * Strong Microsoft Office Suite ...

This role will assist in gathering detailed data and provide recommendations management. The ... computer science, or a related area * Must be a US citizen * Strong Microsoft Office Suite ...

Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic ...

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

This position requires a deep understanding of data science principles strong analytical and problem-solving skills and the ability to translate complex data into actionable insights for operational ...

Everforth ECS is seeking a BD & AI Analysis Intern to work hybrid in our Fairfax, VA office. ECS ... B achelor's degree in Economics, Data Sciences, Business, Management Information Systems, History ...

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

This position requires a deep understanding of data science principles strong analytical and problem-solving skills and the ability to translate complex data into actionable insights for operational ...

Develop advanced analytics, AI, and data science solutions to solve complex business and technical challenges and shape technical direction. * Design, test, and validate audit solutions using ...

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Data Science Analyst Intern information

What does a Data Science Analyst Intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a Data Science Analyst Intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a Data Science Analyst Intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What is the difference between Data Science Analyst Intern vs Data Analyst Intern?

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What are popular job titles related to Data Science Analyst Intern jobs in Virginia? For Data Science Analyst Intern jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Analyst Intern jobs in Virginia look for? The top searched job categories for Data Science Analyst Intern jobs in Virginia are:
What cities in Virginia are hiring for Data Science Analyst Intern jobs? Cities in Virginia with the most Data Science Analyst Intern job openings:
Infographic showing various Data Science Analyst Intern job openings in Virginia as of June 2026, with employment types broken down into 67% Full Time, 31% Part Time, 1% Temporary, and 1% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution.
Data Science Analyst

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Description

Data Science Analyst

AArete is one-of-a-kind when it comes to consulting firm culture.

We're a global, innovative management and technology consulting firm with offices in the U.S., India, and Europe. Our name comes from the Greek word for excellence: "Arete." And excellence is exactly what we strive for.

We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience.

AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment.

The Role

We are looking for a Data Science Analyst who will support our client teams with insights gained from analyzing data leveragingadvanceanalytics techniques. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate has the capability to formulate data driven solutions in collaboration with stakeholders' business requirements. In the new age of AI, this role will contribute to the design, evaluation, and responsible use of advanced Generative AI and Agentic AI-enabled analytical workflows that accelerate client delivery and convert complex data into practical business action.

Work You'll Do

  • Work directly with client teams to identify opportunities for leveraging advanced analytical techniques to drive business solutions
  • Mine and analyze data to drive optimization and improvement of business strategies
  • Develop custom AI/ML models and algorithms to apply to data sets
  • Develop processes and tools to create and monitor data models while maintaining accuracy and other associated metrics necessary for the business objective
  • Support the design, prototyping, and evaluation of Agentic AI workflows, including retrieval-augmented generation, tool-assisted workflows, and human-in-the-loop controls
  • Apply advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, under guidance from senior team members
  • Leverage AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation
  • Demonstrate curiosity, adaptability, and a continuous learning mindset when exploring new AI/ML tools, techniques, client domains, and business problems
  • Other duties as assigned

Requirements

  • 0-3 years of work experience with a bachelor's degree in quantitative field such as Computer Science, Statistics, Economics, Math, Engineering
  • Previous experience working with relational databases and developing advanced SQL queries is a must
  • Exposure to Agentic AI concepts or hands-on experience with AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks
  • Generative AI experience, including prompt engineering, LLM-enabled analysis, model evaluation basics, responsible AI practices, and practical implementation of AI-enabled analytical solutions
  • Python experience for data analysis, machine learning, automation, statistical analysis, notebook-based experimentation, and repeatable analytical workflows
  • Foundational AI/ML background with exposure to supervised learning, unsupervised learning, model validation, feature engineering, and statistical analysis
  • Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset
  • Strong problem-solving skills with the ability to break down ambiguous questions, explore data, test hypotheses, and communicate practical findings to technical or non-technical stakeholders including executives
  • Experience leveraging AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development
  • Experience working with businessintelligence platforms: Tableau, Power BI, etc
  • Applicants must be based in Chicago, IL, and flexible to work from our Chicago office as needed
  • Must be legally authorized to work in the United States without the need for employer sponsorship

Preferred Requirements

  • Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data
  • AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, Glue, S3, Redshift, or related cloud-native AI/ML services
  • Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments
  • Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations
  • Strong educational pedigree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or another quantitative discipline
  • AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials

Compensation & Benefits

  • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays
  • Own Your Day flexible work policy
  • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match
  • Generous paid parental leave options
  • Employer-paid Life Insurance, Short Term Disability, Long Term Disability
  • Charitable contribution matching program
  • New client commission opportunities and referral bonus program
  • Bike share discount program

The estimated base salary range for this position is $75,000-$90,000. In addition to this base salary, individuals may be eligible for an annual discretionary bonus. This range is a part of a competitive, total compensation package together with our majority employer-paid benefits and incentive pay for eligible roles. Please note that this range is a guideline, and individual total compensation may vary due to numerous factors, including but not limited to experience level, certifications, and other relevant business considerations.

AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available.

We put humans at the center of our work

We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results.

But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion.

And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.

We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms.

Learn more about our award-winning culture

We are an Equal Employment 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.

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