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

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 ...

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 ...

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 ...

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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 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:

Quantitative Researcher Intern

Point72

New York, NY • On-site

$120K - $180K/yr

Full-time, Internship

Re-posted 10 days ago


Job description

JOB RESPONSIBILITIES 

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

We are looking for exceptional students to join us as quantitative researcher interns for Fall 2026, Spring 2027 and Summer 2027. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.

You will gain exposure to a variety of activities, which may include:

  • Conducting full pipeline signal research, from ideation, via implementation and backtesting, to eventual application.
  • Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns.
  • 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 CANDIDATES

  • Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines.
  • Demonstrated ability to conduct independent research utilizing machine learning over large, possibly noisy, data sets.
  • Strong analytical and quantitative skills, and detail-oriented mindset.
  • Proficient in Python or C++, and Linux environment.
  • Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
  • Willing to take ownership of his/her work, working both independently and within a collaborative team.
  • Prior experience in the financial services industry is not required.
  • Commitment to the highest ethical standards.

The annual base salary range is $120000.00-$180000.00 (USD). Actual compensation offered to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.