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Statistics Internship Jobs (NOW HIRING)

Strayos

$13 - $17.50/hr

ML models, statistics) for a project that can be completed during the course of the internship Requirements * Candidates must currently be enrolled in an academic degree program in Geography ...

SCM

Quantitative Research Analyst Internship

Radnor, PA · On-site

Opportunities, including full-time summer internships and part-time work throughout the school year ... Build data sets and conduct statistical analysis on the data. Requirements * Substantial progress ...

City of Odessa Police

Internship- Finance

Odessa, TX

$18 - $23.50/hr

Researches and compiles economic, financial, demographic, and statistical information; creates and ... Interns will work up to 40 hours per week. Schedule may vary based on departmental needs and ...

Safe Place For Youth

CRCD Internship

Venice, CA · On-site

Job Type Internship Description JOB TITLE : Access Center and Housing Intern (CRCD Internship ... statistical reports, and related documentation within established timelines. This includes timely ...

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How much do statistics internship jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for statistics internship 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 are the key skills and qualifications needed to thrive as a Statistics Intern, and why are they important?

To thrive as a Statistics Intern, you need a solid understanding of statistical methods, data analysis, and foundational coursework in mathematics or statistics. Familiarity with statistical software such as R, Python, SAS, or SPSS, along with proficiency in Excel, is typically expected. Attention to detail, problem-solving ability, and clear communication skills help interns interpret data accurately and share findings effectively. These competencies are essential for supporting data-driven decision-making and contributing valuable insights to projects.

What is the difference between Statistics Internship vs Data Analyst?

AspectStatistics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldBachelor's or master's in statistics, data science, or related field
Work EnvironmentInternship setting, often in research or academic environmentsFull-time role in corporate, tech, or finance industries
Employer & Industry UsageInternship programs in universities, research institutions, or companiesBusinesses, government agencies, and consulting firms
Common Search & ComparisonYesYes

The main difference between a Statistics Internship and a Data Analyst role lies in experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while Data Analysts are full-time professionals responsible for analyzing data to inform business decisions. Both roles require strong statistical skills, but internships focus on learning and development, whereas Data Analysts perform ongoing data analysis tasks.

What are some typical projects or tasks that Statistics Interns work on during their internship?

Statistics Interns often assist with data collection, cleaning, and analysis for ongoing research or business projects. They may use statistical software to run analyses, create visualizations, and interpret results under the guidance of senior analysts or statisticians. Interns frequently collaborate with cross-functional teams, such as data science, engineering, or marketing, to provide insights that inform decision-making. This hands-on experience helps interns develop practical skills and gain exposure to real-world applications of statistical methodologies.

What is a statistics internship?

A statistics internship is a temporary position that allows students or recent graduates to gain practical experience by applying statistical methods and data analysis techniques in a real-world setting. Interns typically work under the supervision of experienced statisticians or data analysts, assisting with data collection, cleaning, analysis, and interpretation. The internship helps individuals develop technical and professional skills relevant to fields such as data science, research, business analytics, healthcare, and more. It also offers valuable opportunities for networking and can often lead to full-time employment in the field.
More about Statistics Internship jobs
What cities are hiring for Statistics Internship jobs? Cities with the most Statistics Internship job openings:
What are the most commonly searched types of Statistics jobs? The most popular types of Statistics jobs are:
What states have the most Statistics Internship jobs? States with the most job openings for Statistics Internship jobs include:
What job categories do people searching Statistics Internship jobs look for? The top searched job categories for Statistics Internship jobs are:
Statistics Internship jobs near you
Infographic showing various Statistics Internship job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Quantitative Researcher - Internship - Summer 2027

InfiniteQuant

New York, NY • On-site

$6.0K - $10K/mo

Full-time, Temporary, Internship

Re-posted 11 days ago

Job description

Company Description
InfiniteQuant is a global quantitative trading and technology company.
As a privately owned and funded proprietary trading firm, we focus on high-frequency quantitative trading across global financial markets.
Everything from data to strategy, simulation, and trading systems is developed in-house.
Job Description
InfiniteQuant LLC is pleased to announce our annual Quantitative Researcher/Developer Internship tailored for students and recent graduates.
We are actively seeking candidates with expertise in high-frequency statistical arbitrage, focusing on global commodities and digital assets, as well as in market-making strategies for spot, future, swap, and options.
Exceptional interns will have the chance to rotate among various tracks throughout their internship, providing a comprehensive experience in the field.
Tracks
Track1 - High-Frequency Trading
  • Analyze order book data and market trade data to generate high-frequency signals with strong statistical significance.
  • Directly responsible for the construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies.

Track2 - Prediction Market Trading
  • Engage in sports and prediction market trading using quantitative pricing and liquidity management techniques.
  • Monitor, track, and analyze sports prediction markets, including betting odds, price movements, and market sentiment, and provide insights for predicting sports outcomes.

Benefits
  • Team-wide career skills improvement workshops, group coaching, onsite events, and one-on-one training.
  • USA or UAE working visa sponsorship for qualified candidates if needed.
  • Career workshop.
  • Team outing event and team dinner.
  • Earn performance-based bonus.
  • Corporate swag
  • Well-stocked office kitchen.

Salary Range
$6,000-$10,000 per month
Location
  • USA: Downtown Manhattan, New York
  • UAE: Jumeirah Lakes Towers (JLT), Dubai
  • Hong Kong

Interview Process
The interview process includes 1-2 rounds with Quants, a coding test, and concludes with a final interview.
Our candidate pool is exceptionally competitive. Successful candidates are either pursuing or have attained Master's or Ph.D. degrees, or they have significant work or internship experience from HFT proprietary trading firms or hedge funds.
Qualifications
  • Candidates must pursue or hold a Master's or Ph.D. in a quantitative discipline with an understanding of market microstructure.
  • Experience in leading HFT prop shops, trading firms, or hedge funds.
  • Work or internship experience in crypto trading is a plus.
  • Proficiency in data-driven research, advanced statistics, and strategy development is expected.
  • Strong Python skills, particularly with NumPy and pandas.
  • Proficiency in C++.
  • Machine Learning / Deep Learning experience
  • competitive experience on Kaggle or similar platforms is a big plus

Additional Information
InfiniteQuant LLC is an Equal Employment Opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, genetic information, military and veteran status, and any other characteristics protected by applicable law. We seek to recruit, develop, and retain the most talented and qualified applicants from a diverse candidate pool.

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