ZipRecruiter

Log In

1

Internship Data Science Trading Jobs in Edison, NJ

Smarsh

Lead Data Scientist

New York, NY · On-site +1

... and trade communications hold the keys to uncovering misconduct and risk. The role will involve ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Smarsh

Lead Data Scientist

New York, NY

... and trade communications hold the keys to uncovering misconduct and risk. The role will involve ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Millennium Management LLC

Data Scientist

New York, NY · On-site

$165K - $250K/yr

In Business Development at Millennium, we identify and onboard trading talent and data advantages ... Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 3+ years of ...

Grubhub

Senior Staff Data Scientist

New York, NY

About the Opportunity At Wonder Data Science, our mission is to build data science and machine ... You will help define how we structure trade-offs like customer experience vs. operational ...

previous pagenext page

Showing results 21-40

All JobsData Science Trading JobsInternship Data Science Trading JobsInternship Data Science Trading Jobs in Edison, NJ

Internship Data Science Trading information

See Edison, NJ salary details

$12

$23

$43

How much do internship data science trading jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship data science trading in Edison, NJ is $23.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.38 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Science Trading vs Data Analyst?

AspectInternship Data Science TradingData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in data-related field, analytical skills, proficiency in data tools
Work EnvironmentFinancial firms, trading floors, collaborative teamsVarious industries, offices, cross-functional teams
Employer & Industry UsageFinance, trading firms, investment banksMultiple sectors including finance, marketing, healthcare

Internship Data Science Trading focuses on applying data science skills to trading strategies within financial firms, often involving real-time data analysis. Data Analysts work across industries analyzing data to inform business decisions. While both roles require analytical skills and familiarity with data tools, internships are more training-oriented, whereas Data Analysts are more experienced roles in data interpretation and reporting.

What are popular job titles related to Internship Data Science Trading jobs in Edison, NJ?

For Internship Data Science Trading jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Internship Data Science Trading jobs in Edison, NJ look for?

The top searched job categories for Internship Data Science Trading jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Internship Data Science Trading jobs?

Cities near Edison, NJ with the most Internship Data Science Trading job openings:

Internship Data Science Trading jobs near you
Infographic showing various Internship Data Science Trading job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, 3% Temporary, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $48,459 per year, or $23.3 per hour.

L/S Equity - Sector Data Science

Verition Group LLC

New York, NY • On-site

Full-time

Re-posted 13 hours ago

Job description

Firm Overview
Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
Role Overview
We are seeking a highly motivated and technically strong Data Scientist to join the centralized Long/Short Equity team at a leading multi-strategy hedge fund. This team partners directly with portfolio managers and analysts across the L/S Equity business to identify, evaluate, and deploy data-driven insights that enhance investment decision-making and alpha generation.
The ideal candidate will combine strong technical and analytical capabilities with a practical understanding of financial markets. This role will focus on sourcing, analyzing, and operationalizing alternative and traditional datasets, building research tools, and developing scalable analytical frameworks that support discretionary equity investing.
Responsibilities
  • Analyze large structured and unstructured datasets to identify predictive signals and investment insights for L/S Equity portfolio managers.
  • Source, evaluate, and onboard alternative datasets relevant to equity investing, including consumer, transactional, web, geolocation, sentiment, and fundamental datasets.
  • Work closely with portfolio managers, analysts, and sector teams to understand investment processes and develop tailored data-driven solutions.
  • Apply statistical techniques and machine learning methods where appropriate to improve signal generation, company analysis, and portfolio insights.
  • Create dashboards, visualizations, and reporting tools that enable PMs and analysts to consume data effectively and make faster investment decisions.

Qualifications
  • 2+ years of experience in data science, quantitative research, or data analytics within a hedge fund, asset manager, investment bank, or technology-focused environment.
  • Strong proficiency in Python, including experience with libraries such as pandas, NumPy, scikit-learn, and related data science tools.
  • Experience working with large datasets, SQL databases, APIs, and modern data processing frameworks.
  • Understanding of equity markets and investment workflows, ideally within a long/short equity investing environment a plus but not required
  • Strong problem-solving and critical thinking abilities with a demonstrated ability to derive actionable insights from complex datasets.
  • Ability to communicate findings clearly to both technical and non-technical stakeholders, including portfolio managers and investment analysts.
  • Exposure to generative AI tooling for investment research workflows.
  • Knowledge of software engineering best practices, including version control and CI/CD workflows.
  • Excellent written and verbal communication skills.
  • High level of intellectual curiosity, strong work ethic, and a keen attention to detail.
  • Ability to work effectively in a team-oriented, fast-paced, and dynamic environment.

Apply