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Internship Predictive Modeling Jobs (NOW HIRING)

Athenago

Data Science Intern

Wilmington, DE

You will actively contribute to enhancing our delegation platform by leveraging predictive modeling ... Previous internship or project experience demonstrating practical data science applications.

Athena LLC

You will actively contribute to enhancing our delegation platform by leveraging predictive modeling ... Previous internship or project experience demonstrating practical data science applications.

Ingredion

Digital Innovation Intern

Bridgewater, NJ · Hybrid

... predictive modeling projects.Summarize progress, communicate results to project partners, and present recommendations and a final demonstration at the completion of the internship. What you will ...

Cullerton Group

Software Engineer 1

Morton, IL · On-site

$50/hr

A Master's degree is also accepted. * 0-2 years of professional experience; internships are ... Interest in emerging technologies such as predictive modeling and AI-enabled solutions.

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Internship Predictive Modeling information

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How much do internship predictive modeling jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship predictive modeling in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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.

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Internship Predictive Modeling jobs near you

Internship Opportunities

Rockville, MD • On-site

Digital Infuzion
Software Development • 51 - 200 employees
Learn more about Digital Infuzionexternal

Full-time, Internship

Re-posted 20 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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