ZipRecruiter

Log In

1

Predictive Analytics Intern Jobs in Red Bank, NJ

Jane Street

Quantitative Trader

New York, NY · On-site

Past projects have included analyzing new or existing datasets, training predictive models ... As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ...

Jane Street

Quantitative Trader

New York, NY

Past projects have included analyzing new or existing datasets, training predictive models ... As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ...

previous page

Showing results 21-28

All JobsPredictive Analytics Intern JobsPredictive Analytics Intern Jobs in Red Bank, NJ

Predictive Analytics Intern information

What does a predictive analytics intern do?

A Predictive Analytics Intern assists organizations by analyzing data to forecast future trends and outcomes. They use statistical techniques, machine learning models, and data visualization tools to interpret large datasets and generate actionable insights. Typically, these interns work under the guidance of experienced data scientists or analysts, contributing to projects such as demand forecasting, customer behavior analysis, or risk assessment. Their role also involves cleaning and preparing data, running predictive models, and helping to communicate findings to non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a predictive analytics intern?

To thrive as a Predictive Analytics Intern, you need a solid background in statistics, data analysis, and familiarity with programming languages such as Python or R, often supported by coursework in data science or related fields. Experience with tools like SQL, machine learning libraries (e.g., scikit-learn), and data visualization platforms (such as Tableau or Power BI) is typically expected. Strong problem-solving, attention to detail, and effective communication skills help interns stand out when interpreting and presenting data-driven insights. These competencies are crucial for deriving actionable predictions and supporting business decisions through accurate, well-communicated analyses.

How does a predictive analytics intern typically collaborate with different departments within a company?

As a Predictive Analytics Intern, you will often work closely with teams such as marketing, operations, and IT to gather data, understand business needs, and present analytical findings. Collaboration usually involves attending cross-functional meetings, sharing data-driven insights, and helping stakeholders interpret predictive models for practical decision-making. This role provides valuable exposure to real-world business challenges and helps you develop communication skills that are essential for translating complex analytics into actionable recommendations.

What is the difference between Predictive Analytics Intern vs Data Analyst Intern?

AspectPredictive Analytics InternData Analyst Intern
Required SkillsStatistical analysis, programming (Python, R), data modelingData visualization, SQL, basic statistical skills
Work EnvironmentTech companies, finance, marketing teamsBusiness departments, consulting firms, tech companies
Typical TasksBuilding predictive models, analyzing trends, forecastingData cleaning, reporting, creating dashboards

Predictive Analytics Interns focus on developing models to forecast future outcomes using statistical techniques, while Data Analyst Interns primarily analyze and visualize existing data to support decision-making. Both roles require strong analytical skills but differ in their technical focus and project types.

What cities near Red Bank, NJ are hiring for Predictive Analytics Intern jobs?

Cities near Red Bank, NJ with the most Predictive Analytics Intern job openings:

Predictive Analytics Intern jobs near you
Infographic showing various Predictive Analytics Intern job openings in Red Bank, NJ as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution.

Campus AI Research Engineer - Research Automation (Intern)

Jump Trading

New York, NY • On-site

$300K/yr

Full-time, Internship

Re-posted 9 days ago

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including AI/ML expertise, engineering pragmatism, statistics, and market intuition.  

What You'll Do: 

  • Apply state-of-the-art techniques to complex and challenging domains. 
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial ML. 
  • Optimize training pipelines to make the best use of our HPC resources. 
  • Integrate ML models into production systems where latency matters. 
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages. 
  • Build large-scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research. 
  • Other duties as assigned or needed. 

Skills You'll Need: 

  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research 
  • Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) 
  • Solid development skills in Python and/or C++ 
  • Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow 
  • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook 
  • Ability to thrive in a collaborative, team-oriented environment 
  • Ability to reason through quantitative problems and communicate effectively with trading researchers 
  • Reliable and predictable availability 

Bonus Points: 

  • Experience with HPC and distributed large model training 
  • Experience with GPU performance optimization (CUDA or ROCm) 
  • Experience with end-to-end model development 
  • Strong opinions on best practices in ML research, tooling, and/or infrastructure 

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions. 

The estimated base salary for this role (annualized) is $300,000 per year. 

Apply