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Internship Predictive Modeling Jobs in Washington

US AI

Sr. Data Scientist

Rockville, MD · On-site

$150K - $200K/yr

Demonstrated expertise gained through relevant internships, coursework, and personal projects that ... Deep understanding of predictive modeling, machine-learning, clustering and classification ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

Company Description QxBranch delivers predictive analytics solutions leveraging the emerging ... Prototype, develop, and deploy complex analytics models for client systems * Organize, manage, and ...

QxBranch

Data Scientist QxBranch

Washington, DC

Company Description QxBranch delivers predictive analytics solutions leveraging the emerging ... Prototype, develop, and deploy complex analytics models for client systems * Organize, manage, and ...

ManTech

Data Analyst

Ashburn, VA

$83K - $139K/yr

... build predictive models as well as develop appropriate supporting documentation. * Leverage ... Coursework related and/or prior internship related to data science/analytics * Working knowledge of ...

ManTech International

Data Analyst

Ashburn, VA · On-site

$83K - $139K/yr

... build predictive models as well as develop appropriate supporting documentation. * Leverage ... Coursework related and/or prior internship related to data science/analytics * Working knowledge of ...

Trident Systems LLC

Systems Engineer

Fairfax, VA · On-site

$61K - $113K/yr

... predictive maintenance and logistics solutions, and scalable, responsive, all-domain surveillance ... Support the development and maintenance of system architecture models using Cameo Systems Modeler ...

New

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$150K - $181K/yr

This role focuses on developing models, algorithms, and analytical tools to extract insights from ... Apply data mining, predictive analytics, and pattern recognition techniques to space and ...

KBR, Inc.

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

This role focuses on developing models, algorithms, and analytical tools to extract insights from ... Apply data mining, predictive analytics, and pattern recognition techniques to space and ...

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Internship Predictive Modeling information

What is the difference between Internship Predictive Modeling vs Data Analyst?

AspectInternship Predictive ModelingData Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldsOften holds a degree in statistics, mathematics, or related disciplines
Work EnvironmentInternship setting, often in tech, finance, or marketing companiesFull-time or part-time roles in various industries including finance, healthcare, and retail
Employer & Industry UsageUsed in companies focusing on developing predictive models and machine learning applicationsCommon in organizations analyzing data trends, reporting, and decision-making

Internship Predictive Modeling focuses on developing and applying models to forecast outcomes, often as part of an internship program. Data Analysts interpret data, generate reports, and support business decisions. While both roles require analytical skills, predictive modeling emphasizes machine learning and statistical modeling, whereas data analysis centers on data interpretation and visualization.

Internship Predictive Modeling jobs near you
Internship Opportunities

Internship Opportunities

Digital Infuzion

Rockville, MD • On-site

Full-time, Internship

Posted 2 days ago

Job description

Program Overview
Digital Infuzion's Summer Internship Program is designed for students and recent graduates who want to apply their skills to projects that directly improve public health. Interns gain hands-on experience in biomedical informatics, data science, AI, clinical research, cybersecurity, and business operations-working alongside experts who support the NIH, FDA, and other federal health agencies.
This program is built for candidates who want meaningful work, real professional development, and exposure to mission-driven public health initiatives.
Location
The work schedule for Digital Infuzion is hybrid, and for internships it depends on the internship track, all applicants should be prepared to work a to-be-determined hybrid schedule that would include several days a week in our Rockville, MD office.
What You'll Gain
  • Real Project Experience: Contribute to meaningful, mission-driven assignments that advance healthcare technology.
  • Mentorship: Work closely with seasoned professionals who support your technical and career growth.
  • AI Innovation Challenge: Each summer culminates in a cross-disciplinary AI Innovation Challenge, where interns team up to solve a real-world health IT problem.
  • Networking: Build lasting connections with peers, mentors, and leaders across the company.
  • Growth Path: Many interns successfully transition into full-time careers at Digital Infuzion (DIFZ).

2026 Internship Tracks (Anticipated)
  • Software Development & AI Engineering: Design and build AI-driven applications that support biomedical research and healthcare analytics, leveraging NIH-approved cloud platforms and production-ready machine-learning models to support real-time clinical decision-making.
  • Data Science & AI Research: Apply predictive modeling to improve clinical trial recruitment and diversity, develop NLP pipelines that mine biomedical literature, and craft surveillance models that detect adverse events sooner.
  • Health IT & Biomedical Informatics: Work with NIH clinical research tracking systems (e.g., eRA Commons, NIA CROMS), gain hands-on exposure to FHIR/HL7 interoperability, and tackle data governance and security challenges in health-research IT.
  • Business Operations & GovCon Strategy (Limited Seats): Support proposal writing, contract management, and federal procurement (FAR/DFARS), while contributing to business development efforts for NIH and FDA opportunities.

General Responsibilities (All Interns)
Depending on the track and assignment, interns may:
  • Contribute to project deliverables under the guidance of technical and/or business leaders.
  • Participate in team meetings, mentorship sessions, and professional development activities.
  • Present work progress and outcomes, including participation in the AI Innovation Challenge.
  • Collaborate across disciplines (engineering, data, informatics, operations) to solve real client problems.
  • Produce clear documentation of work (technical notes, analysis, briefs, or proposals, depending on the track).

Required Qualifications
  • U.S. Citizen or U.S. Permanent Resident (mandatory).
  • Currently enrolled in an accredited undergraduate or graduate program.
  • Ability to work on-site from Digital Infuzion headquarters (HQ) in Rockville, MD.
  • Interest in applying skills to public health, healthcare, or health IT mission areas.
  • Strong written and verbal communication skills.
  • Ability to work collaboratively in a professional team environment.

Application Process
To be considered, candidates must submit:
  1. Resume/CV
  2. Statement of Interest (≤ 500 words)
    • Identify your preferred track.
    • Explain why it interests you and how your skills/coursework prepare you to contribute.
  3. Academic Transcript (unofficial PDF or screenshot acceptable)
Upon review of your application, if selected, you will complete a screening call with a member of the Talent Acquisition team to assess overall fit, answer questions, and complete a core values assessment (outlined below).
Digital Infuzion Core Values
Our team thrives in a creative, open, and growth-oriented environment, guided by our core values:
  • Outcomes First: Focus on what matters most and make timely, informed decisions.
  • Innovative: Embrace creativity and continuous improvement to drive novel solutions.
  • Radical Candor: Communicate openly and honestly, balancing direct feedback with genuine care.
  • Never Satisfied: Pursue excellence and continuous growth beyond the status quo.
  • Resilient: Adapt and persevere through challenges, turning obstacles into opportunities.

Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws.
We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Talent Acquisition at careers@digitalinfuzion.com. The decision on granting reasonable accommodation will be made on a case-by-case basis.

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