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Internship Math Problem Solving Jobs in Levittown, PA

Varsity Tutors

Middle School Math Tutor

Trenton, NJ · Remote

$40/hr

Conceptual Teaching & Problem-Solving: Skilled at breaking down fraction operations, proportion ... Familiar with middle school math standards for grades six through eight and common challenges ...

Susquehanna

Operations Internship: Summer 2027

Bala Cynwyd, PA · On-site

$14.25 - $18.75/hr

We look for people from a variety of backgrounds who have strong problem-solving skills and the ... Students pursuing a degree in Finance, Math, Computer Science or a related major with intention to ...

Uncommon Schools

Middle School Math Teacher

Voorhees, NJ · On-site

$56K - $80K/yr

You'll use our in-house CCSS-based Math curriculum and culturally responsive problem-solving activities. * You'll motivate students to grapple with problems and think critically about all the ...

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Internship Math Problem Solving information

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How much do internship math problem solving jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship math problem solving in Levittown, PA is $18.59, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $20.77 per hour, depending on experience, location, and employer.

What is an internship in math problem solving?

An Internship in Math Problem Solving is a short-term position, often for students or recent graduates, that focuses on applying mathematical concepts and analytical skills to real-world problems. Interns might work on projects involving data analysis, mathematical modeling, or algorithm development under the guidance of experienced professionals. These internships help participants gain practical experience, improve their problem-solving abilities, and understand how mathematics is used in various industries. They also provide valuable exposure to teamwork and professional environments.

What types of projects or problems will I typically work on during a math problem solving internship?

During a Math Problem Solving internship, you'll often be assigned to tackle a variety of real-world mathematical challenges that may include data analysis, developing algorithms, optimizing processes, or supporting research initiatives. Interns frequently collaborate with other team members or departments to brainstorm solutions, test mathematical models, and present findings. The work environment is usually supportive and encourages creative problem-solving and critical thinking, with guidance from mentors or senior staff. This experience can help you build practical skills relevant to careers in data science, finance, research, or engineering.

What are the key skills and qualifications needed to thrive as an internship math problem solving, and why are they important?

To thrive in an Internship focused on Math Problem Solving, you need a solid background in mathematics, analytical thinking, and familiarity with mathematical concepts, typically gained through relevant coursework or a degree in math or related fields. Proficiency with tools like Microsoft Excel, MATLAB, Python, or other mathematical software is often required. Strong communication, attention to detail, and collaborative skills set candidates apart in team-based problem-solving environments. These skills ensure accurate analysis, effective solution development, and productive teamwork in math-intensive projects.

What is the difference between Internship Math Problem Solving vs Data Analyst?

AspectInternship Math Problem SolvingData Analyst
Required CredentialsBasic math skills, possibly some courseworkDegree in math, statistics, or related field
Work EnvironmentAcademic or internship setting, project-basedCorporate or organizational data teams
Industry UsageEducational, research, or internship programsBusiness, finance, healthcare, tech
Common Search IntentLearning math problem-solving skills, internship opportunitiesData analysis roles, career development

Internship Math Problem Solving focuses on developing mathematical reasoning and problem-solving skills in an internship setting, often with minimal industry-specific tools. Data Analysts apply these skills in real-world data environments, utilizing statistical software and data visualization tools to interpret and present data insights. While both roles require strong math fundamentals, Data Analysts typically have more specialized training and industry experience.

What cities near Levittown, PA are hiring for Internship Math Problem Solving jobs?

Cities near Levittown, PA with the most Internship Math Problem Solving job openings:

Internship Math Problem Solving jobs near you

Quantitative Research Internship - PhD: Summer 2027

Bala Cynwyd, PA • On-site

Susquehanna International Group
Finance and Insurance • 1 - 5K employees
Learn more about Susquehanna International Groupexternal

Other

Re-posted 8 days ago

Job description

Overview
At Susquehanna, quantitative researchers tackle challenging data and algorithmic problems that inform decision-making in global financial markets. Their work spans statistical inference, optimization, market microstructure, simulation, forecasting, and large-scale data analysis, drawing on a broad quantitative toolkit to develop new insights and approaches.
As a Quantitative Research Intern, you'll gain experience that closely reflects the work of our full-time research teams while participating in a structured education program designed to accelerate your development. Through hands-on research, mentorship, and close collaboration with researchers, engineers, and traders, you'll explore open-ended questions, design experiments, develop quantitative models, and evaluate ideas through rigorous empirical analysis.
Susquehanna's extensive proprietary datasets and large-scale computing infrastructure-including a rapidly growing cluster of thousands of high-end GPUs-support computationally intensive research, large-scale simulation, and rapid experimentation. Researchers work in small, highly collaborative teams where ideas are debated openly, evidence guides decisions, and promising research can quickly produce practical impact.
Your Internship Experience
Your internship begins with Core Curriculum, an immersive, interdisciplinary program in which quantitative and machine learning researchers, traders, and software engineers learn together. You'll build a shared foundation in quantitative trading, programming, data analysis, mathematical modeling, and modern machine learning and AI tools before applying those concepts to real-world problems.
You'll spend the rest of the summer on the Blast Project-an end-to-end simulation of quantitative work at Susquehanna. You'll research and develop a model, turn it into a trading strategy, and run that strategy against high-fidelity historical market data. Each day, you'll receive measurable feedback on its performance, allowing you to test hypotheses, refine your approach, and iterate rapidly-much as our research and trading teams do.
The project is deliberately broad. Rather than exposing you to just one narrow aspect of the job, it takes you through data analysis, modeling, implementation, simulated execution, evaluation, and the judgment calls in between. That breadth leads to continuous, engaging conversations among interns and mentors-and helps make the Blast Project one of the most memorable parts of the summer.
The strategy is your own, but you won't develop it alone. You'll be paired with a mentor from our research and trading staff, supported by dedicated teaching assistants, and surrounded by a cohort of interns working through the same challenge.
What we're looking for
We're looking for intellectually curious researchers who are energized by difficult quantitative problems and motivated by rigorous experimentation.
You may be a strong fit if you have:
  • A PhD in progress and expect to be in your penultimate or final year as of summer 2027, or currently a postdoctoral researcher, in computer science, economics, electrical engineering, mathematics, operations research, physics, statistics, or another highly quantitative discipline
  • A strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling
  • Experience developing research code in Python and working with large datasets; experience with C++, scientific computing, or high-performance computing is a plus
  • Excellent problem-solving skills and an interest in using quantitative models to understand complex systems
  • Strong communication skills and an interest in collaborating with researchers, engineers, and traders to refine ideas through discussion and experimentation
  • A track record of intellectual curiosity demonstrated through academic research, competitions, strategic games, or other analytical pursuits
  • The ability to thrive in an environment that values creativity, evidence-based thinking, collaboration, and continuous learning

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship. There is no need to apply to both positions to be considered for both.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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