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Internship Mathematical Modeling Jobs (NOW HIRING)

Roku

Senior Data Scientist

New York, NY · On-site +1

$126K - $199K/yr

Formulate and apply mathematical modeling and other optimizing methods to develop and interpret ... Must have prior experience, internship, project background, or advance level coursework in each of ...

Gnw

Risk Modeling Intern

Raleigh, NC

$14.50 - $19.50/hr

The internship program is a critical component of Enact's talent pipeline as we look to interns to ... Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data ...

Genworth Financial

Risk Modeling Intern

Raleigh, NC · On-site

$14.50 - $19.50/hr

The internship program is a critical component of Enact's talent pipeline as we look to interns to ... Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data ...

Genworth Financial, Inc.

Risk Modeling Intern

Raleigh, NC · On-site

$14.50 - $19.50/hr

The internship program is a critical component of Enact's talent pipeline as we look to interns to ... Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data ...

hcmportal

We're Looking for an Actuarial Financial Analysis and Modeling Intern! About the Company: Security ... This is not a summer only internship. * Full-time college student in Mathematics, Actuarial ...

Akuna Capital

... and mathematical models. Our Founding Partners first conceptualized Akuna in their hometown of ... C++ software engineer interns at Akuna have the opportunity to work on a variety of high ...

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Internship Mathematical Modeling information

What is an internship in mathematical modeling?

An internship in mathematical modeling is a temporary, practical work experience where students or recent graduates apply mathematical theories and computational techniques to solve real-world problems. Interns typically work with data analysis, simulation, and mathematical software to develop models in fields such as engineering, finance, or science. These internships help participants gain hands-on experience, improve technical skills, and build professional networks in preparation for future careers.

What types of projects can I expect to work on during an internship in mathematical modeling?

As an intern in mathematical modeling, you will likely work on projects that involve creating and analyzing mathematical representations of real-world systems. These can include tasks such as developing predictive models for business processes, optimizing logistics, or simulating scientific phenomena. You'll typically collaborate with data scientists, engineers, and subject matter experts to gather requirements, validate your models, and present findings. This hands-on experience helps you build both your technical and teamwork skills, preparing you for more advanced roles in analytics and modeling.

What are the key skills and qualifications needed to thrive as an internship in mathematical modeling, and why are they important?

To thrive in a Mathematical Modeling internship, you need solid foundations in mathematics, statistics, and programming, usually supported by coursework in applied mathematics or related fields. Familiarity with technical tools like MATLAB, Python, R, and simulation software is often expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns stand out when working with complex data and interdisciplinary teams. These competencies are crucial for accurately developing models, interpreting results, and conveying findings to diverse stakeholders.

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

AspectInternship Mathematical ModelingData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in mathematics, statistics, or related fieldsOften pursuing or recent graduate in statistics, data science, or related fields
Work EnvironmentResearch-focused, project-based, often in academia or R&D departmentsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in industries like finance, engineering, and tech for modeling complex systemsCommon in marketing, finance, healthcare, and tech for data analysis

Internship Mathematical Modeling and Data Analyst Internships both involve working with data, but modeling internships focus on developing mathematical representations of systems, while data analysis internships emphasize interpreting and visualizing data for decision-making. The choice depends on your interest in theoretical modeling versus practical data insights.

What cities are hiring for Internship Mathematical Modeling jobs?

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What are the most commonly searched types of Mathematical Modeling jobs?

The most popular types of Mathematical Modeling jobs are:

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Internship Mathematical Modeling jobs near you

R&D Internship - Computer & Data Science

Indianapolis, IN • On-site

Corteva Agriscience
Crop Farming • 10K+ employees
Learn more about Corteva Agriscienceexternal

Full-time, Internship

Posted 11 days ago

Job description

Who are we, and what do we do?
Grow what's next. Grow your future. Are you excited to contribute to innovative research that advances food security and sustainability? Corteva Agriscience is seeking students for full-time internships within our Research and Development organization in Indianapolis, Indiana. Interns will work closely with experienced scientists and technical experts in an industrial R&D setting, with opportunities to build skills, contribute to meaningful projects, and network across the company.
What You'll Do:
Interns will work on one of many computer science-based projects including automation, software engineering, information science, machine learning, database building and visualization, statistics, geospatial analysis, and/or mathematical modeling.
  • Engage with business users to gather requirements, understand use cases, and identify opportunities to improve internal tools, workflows, and business processes.

  • Explore and implement AI, machine learning, analytics, and automation capabilities to improve efficiency, recommend process improvements, and support data-driven decision-making.

  • Develop AI-enabled solutions that use historical data and patterns to recommend templates, workflows, task structures, dependencies, or other ways to manage work more effectively.

  • Integrate and analyze data from multiple internal sources to improve data quality, reporting, dashboards, chatbot capabilities, business insights, and connections across project activities, milestones, and deliverables.

  • Develop and enhance internal tools through workflow automation, responsibility or role mapping, administrative process improvements, and functionality that reduces manual effort.

  • Work with geographic information systems, where applicable, to develop new data products and conduct assessments.

What Skills You Need:
  • Currently pursuing a Bachelors, Masters, or Doctorate degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, Automation or a related Field

  • Must have successfully completed two full years of undergraduate-level computer science or Data Science curriculum including associated laboratory courses.

  • Strong technical data skills and business communication, curiosity and willingness to interact with stakeholders, problem-solving mindset.

  • Interest or experience in data engineering, data pipelines, cloud data platforms, workflow orchestration, version control, testing, deployment, or CI/CD practices is a plus.

  • Minimum 3.0 GPA

  • Must be able to relocate to Indianapolis, IN for the duration of the internship.

  • Must be able to work full-time (40 hours per week) for at least 10 weeks during the timeframe of May to August (some six-month internship opportunities available)..

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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