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Internship Predictive Modeling Jobs (NOW HIRING)

Cenergistic

SPRING Internship - Lexington, KY

Lexington, KY · On-site

$15 - $20/hr

... predictive modeling, anomaly detection, and utility analytics across every meter and system. For 13 ... This internship is a unique opportunity for students to gain real-world experience in promoting ...

Socket.dev

Associate Data Scientist

Richmond, VA · On-site

$105 - $128/hr

... internships, or projects. * Strong analytical foundation, ideally with a Master's in a quantitative or STEM field, and an understanding of probability, statistics, and predictive modeling algorithms ...

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Internship Predictive Modeling information

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How much do internship predictive modeling jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship predictive modeling 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 is the difference between Internship Predictive Modeling vs Data Analyst?

AspectInternship Predictive ModelingData Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldsOften holds a degree in statistics, mathematics, or related disciplines
Work EnvironmentInternship setting, often in tech, finance, or marketing companiesFull-time or part-time roles in various industries including finance, healthcare, and retail
Employer & Industry UsageUsed in companies focusing on developing predictive models and machine learning applicationsCommon in organizations analyzing data trends, reporting, and decision-making

Internship Predictive Modeling focuses on developing and applying models to forecast outcomes, often as part of an internship program. Data Analysts interpret data, generate reports, and support business decisions. While both roles require analytical skills, predictive modeling emphasizes machine learning and statistical modeling, whereas data analysis centers on data interpretation and visualization.

What cities are hiring for Internship Predictive Modeling jobs?

Cities with the most Internship Predictive Modeling job openings:

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

The most popular types of Predictive Modeling jobs are:

What states have the most Internship Predictive Modeling jobs?

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Internship Predictive Modeling jobs near you

Machine Learning Internship - PhD: 2027 - Susquehanna International Group

Susquehanna International Group

Bala Cynwyd, PA • On-site

Full-time

Posted 28 days ago

Job description

Overview
Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You'll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect

  • Conduct research and develop ML models to identify patterns in noisy, non-stationary data
  • Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One-on-one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making

What we're looking for
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?
  • Work with a world-class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach

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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