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Math Internship Jobs in Springfield, IL (NOW HIRING)

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How much do math internship jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for math internship in Springfield, IL is $19.17, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $21.44 per hour, depending on experience, location, and employer.

What are the top 5 math careers?

Math internships can lead to careers such as data analyst, actuary, statistician, operations researcher, and financial analyst. These roles typically require strong analytical skills, proficiency in statistical software, and a solid foundation in mathematics or related fields. They often involve problem-solving, data interpretation, and quantitative analysis in various industries.

What are some internships for math majors?

Math majors can pursue internships in fields such as data analysis, finance, actuarial science, and research roles in technology companies. These internships often require strong analytical skills, proficiency in programming languages like Python or R, and may involve working with statistical software or modeling tools. They provide practical experience and can lead to full-time positions after graduation.

What is an internship in mathematics?

An internship in mathematics is a temporary position that provides practical experience in applying mathematical concepts and skills in real-world settings. Interns often work on projects involving data analysis, modeling, or research, and may use tools like MATLAB or Python. These internships help students or early-career professionals develop industry-specific skills and gain insight into careers in mathematics or related fields.

What is the difference between Math Internship vs Data Analyst?

AspectMath InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in Mathematics, Statistics, or related fieldsBachelor's degree in Mathematics, Statistics, Computer Science, or related fields
Work EnvironmentInternship programs in corporate, research, or academic settingsFull-time roles in corporate, finance, tech, or healthcare industries
Employer & Industry UsageEducational institutions, research labs, companies offering internship programsBusinesses analyzing data to inform decisions, improve processes, or develop products

Math internships are typically short-term, entry-level opportunities for students or recent graduates to gain practical experience in mathematical applications. Data analysts are full-time professionals responsible for interpreting data, creating reports, and supporting business decisions. While both roles require strong math skills, internships focus on learning and exposure, whereas data analyst roles involve ongoing responsibilities in data management and analysis.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience for students pursuing careers in finance, accounting, and consulting. For a math internship, these firms often seek candidates with strong analytical and problem-solving skills, and they may require relevant coursework or certifications.

What types of projects or tasks can I expect to work on during a Math Internship?

As a Math Intern, you'll typically engage in a variety of analytical tasks such as data analysis, statistical modeling, and assisting with research projects. Depending on the organization, you might work on real-world problems like optimizing processes, interpreting large datasets, or supporting ongoing studies with mathematical computations. Interns often collaborate with experienced mathematicians, data analysts, and other team members, which provides valuable opportunities to learn industry-standard tools and methodologies. These experiences help build both technical and professional skills, laying a strong foundation for future career growth.

What is a math internship?

A math internship is a temporary position that allows students or recent graduates to gain practical experience by applying mathematical concepts and skills in a real-world setting. These internships often involve working on projects related to data analysis, research, statistical modeling, or problem solving in industries such as finance, engineering, technology, or academia. Math internships provide valuable opportunities to learn from professionals, build a network, and enhance a resume, all while exploring potential career paths in mathematics.

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

To thrive as a Math Intern, you need a strong grasp of mathematical concepts, analytical thinking, and problem-solving abilities, often supported by coursework in mathematics or related fields. Familiarity with data analysis tools (like Excel, MATLAB, or Python), and statistical software is typically required. Strong communication, teamwork, and a willingness to learn help you stand out in collaborative, project-based environments. These skills are crucial for effectively contributing to real-world projects, interpreting data, and supporting more experienced professionals in the field.
What are the most commonly searched types of Math jobs in Springfield, IL? The most popular types of Math jobs in Springfield, IL are:
What job categories do people searching Math Internship jobs in Springfield, IL look for? The top searched job categories for Math Internship jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Math Internship jobs? Cities near Springfield, IL with the most Math Internship job openings:
Machine Learning Engineer New Grad 2024-2025 -Remote

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Springfield, IL • Remote

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 27 days ago


Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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