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Internship Decision Scientist Jobs (NOW HIRING)

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Data Scientist

Orlando, FL · On-site

$107K/yr

... of decision science. Key Responsibilities Advanced Analytical Modeling (45%) • Formulate and ... Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns ...

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Internship Decision Scientist information

What is an internship decision scientist?

An Internship Decision Scientist is a student or recent graduate who works temporarily with a company to analyze data and provide insights to support business decisions. They typically use statistical methods, machine learning, and data visualization techniques to extract patterns from large datasets. Their role is to help organizations make evidence-based decisions, often working alongside data scientists, analysts, and business leaders. This internship provides valuable hands-on experience in both technical data analysis and strategic decision-making within a business context.

What types of projects and data sets can an internship decision scientist expect to work with during their internship?

As an Internship Decision Scientist, you’ll typically work on projects involving data analysis, predictive modeling, and business intelligence to support organizational decision-making. You may handle large datasets from various sources, such as customer transactions, product usage, or marketing campaigns, and use tools like Python, R, or SQL to draw actionable insights. Interns often collaborate with cross-functional teams, including business analysts and product managers, to solve real-world business challenges. This role provides valuable exposure to both technical and strategic aspects of data science, helping you build a strong foundation for future career growth.

What are the key skills and qualifications needed to thrive as an internship decision scientist, and why are they important?

To thrive as an Internship Decision Scientist, you need a strong foundation in statistics, data analysis, and problem-solving, typically supported by coursework in data science, mathematics, or related fields. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is often expected. Critical thinking, curiosity, and effective communication are vital soft skills for translating complex data insights to diverse stakeholders. These competencies are crucial for deriving actionable business recommendations and supporting data-driven decision-making.

What is the difference between Internship Decision Scientist vs Data Analyst?

AspectInternship Decision ScientistData Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldsOften holds a bachelor's degree in data-related disciplines
Work EnvironmentInternship setting within companies, focusing on decision-making projectsFull-time or part-time roles in various industries analyzing data sets
Employer & Industry UsageUsed by companies to evaluate potential decision science talent; industry-specificWidely used across industries for data-driven insights and reporting

The main difference is that an Internship Decision Scientist is an entry-level, temporary position aimed at gaining experience in decision science, while a Data Analyst is a more established role focused on analyzing data to inform business decisions. Internships are often stepping stones toward full-time data science careers, including decision science roles.

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Internship Decision Scientist jobs near you
Infographic showing various Internship Decision Scientist job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Quantitative Trader Internship: Summer 2027

Susquehanna

Chicago, IL

Full-time, Temporary, Internship

Posted 6 days ago

Job description

Overview

Susquehanna's trading internship provides a distinctive opportunity to learn about quantitative trading. Splitting their day between working on a trading desk and education in a classroom setting, interns receive the best preparation possible for careers in quant trading. During their time on the trading floor, interns will be fully embedded within a trading desk, working side by side with an experienced trader who will serve as a mentor. While in education, interns will receive industry-leading training in options theory and decision science from traders fully dedicated to trader development. Students with a STEM background can leverage their quantitative skills and learn how Susquehanna uses game theory, decision science, and cutting-edge technology to make trading decisions. The goal of the program is to provide interns with a deep exposure to trading, so they can decide if it is what they want to pursue full-time.

What we're looking for

  • Intention to graduate with a minimum of a bachelors degree and begin full time employment by August 2028
  • Exceptional quantitative, logical reasoning, and analytical skills
  • General computer skills required; computer programming skills a plus
  • Demonstrated interest in strategic games and/or competitive activities
  • Ability to thrive in a fast-paced and competitive environment
  • Visa sponsorship is available for this position

What's in it for you:

  • Our non-hierarchical culture allows employees of every level to thrive and make impact. We are not your typical trading firm - the environment is casual, collaborative and we focus on continuous development.
  • Housing provided for duration of internship
  • Relaxed dress code: jeans and sneakers are the norm, shorts all summer long
  • Food, beverages, and snacks available all day
  • Discounts for dining, entertainment, shopping, travel, and attractions
  • Social events including a poker tournament, dinners, sporting events and other outings in Chicago

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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