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Predictive Analytics Intern Jobs in Summit, NJ (NOW HIRING)

Point72

Quantitative Research Intern

New York, NY · On-site

Identify features and relationships useful for the predictive modeling of market dynamics DESIRABLE ... Strong analytical and quantitative skills * Demonstrated interest in financial markets and ...

Point72

Quantitative Researcher Intern

New York, NY

$120K - $180K/yr

Analyzing very large data sets to extract features useful for predictive models. * Providing research assistance to the team. * Helping improve the team's research infrastructure. DESIRABLE ...

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Predictive Analytics Intern information

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 are the key skills and qualifications needed to thrive as a Predictive Analytics Intern, and why are they important?

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.

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.

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 job categories do people searching Predictive Analytics Intern jobs in Summit, NJ look for? The top searched job categories for Predictive Analytics Intern jobs in Summit, NJ are:
What cities near Summit, NJ are hiring for Predictive Analytics Intern jobs? Cities near Summit, NJ with the most Predictive Analytics Intern job openings:
Predictive Analytics Intern jobs near you

Investment Data Science Intern (Summer 2027)

Walleye Capital Internships

New York, NY

$14K/mo

Other

Posted 26 days ago

Job description

Position: Investment Data Science Intern (Summer 2027)

Location: New York, NY

Firm Overview:

Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Fundamental Equities, Quant, and Volatility strategies. 

At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team's success. Our people are our greatest asset, and we've cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity.

Position Overview:

Walleye Capital is seeking Investment Data Science Interns for Summer 2027. As an intern, you'll engage in high-impact projects focused on alternative data research supporting long/short discretionary investment strategies. Your work may include developing thematic investment theses, exploring new datasets, or conducting stock-specific analyses. You'll have the opportunity to collaborate with senior professionals, gain hands-on experience with real-world hedge fund data, and enhance your analytical and statistical skills.

The internship is 10 weeks in length and will take place in New York City from June to August 2027.

Responsibilities:

  • Partner with the Central Data Science team on research initiatives, supporting both scalable production insight pipelines and ad hoc analytics to inform investment decisions.
  • Collaborate with discretionary equity L/S portfolio managers and analysts to understand their investment theses and identify areas where alternative or fundamental data can augment conviction; develop and prototype predictive models or analytics tools that help surface patterns across sectors, tickers, or themes.
  • Conduct exploratory data analysis (EDA), signal validation, and performance attribution studies using historical and real-time data sets.
  • Assist in the evaluation and onboarding of new data vendors by performing quantitative and qualitative assessments of potential alpha signals.
  • Learn and implement core data science and data engineering workflows on the firm's Cloud and Linux infrastructure.
  • Clean, transform, and join large structured and unstructured datasets from internal and external sources; maintain reproducibility and robustness through version-controlled code, documentation, and adherence to the team's development standards; utilize AI to enhance processes and analyses.

We seek individuals who:

  • Are pursuing an undergraduate or non-MBA master's degree in a STEM-related field, with an expected graduation date between December 2027 and June 2028.
  • Demonstrate strong quantitative and analytical skills, with a solid foundation in programming, statistics, and problem-solving capabilities.
  • Are self-motivated, adaptable, and detail-oriented, with the ability to manage multiple priorities in a fast-paced environment.
  • Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity and improve processes and workflows.
  • Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning.

Pay Range:

The expected monthly pay for this position is $14,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from New York City (domestic travel only). 

The deadline to apply for this opportunity is Friday, July 31 at 11:59pm ET. For questions about the process, please review our Campus FAQs.

Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com.  

Personal data you provide will be processed in accordance with Walleye Capital LLC's Privacy Notice available at: https://www.walleyecapital.com/.  

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