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Predictive Analytics Internship Jobs (NOW HIRING)

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Analytics Intern

Jacksonville, FL

Analytics, Business Planning (FP&A), Accounting & Reporting, and Capital Markets. Assignments given ... predictive models for decision-making and financial/operational reporting * Conclude the internship ...

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How much do predictive analytics internship jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for predictive analytics internship 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 types of projects can I expect to work on during a predictive analytics internship?

As a Predictive Analytics Intern, you can expect to work on projects that involve collecting, cleaning, and analyzing large datasets to identify trends and make forecasts. Typical responsibilities may include building statistical models, developing machine learning algorithms, and presenting actionable insights to business stakeholders. You will likely collaborate with data scientists, engineers, and business analysts, gaining hands-on experience with real-world data challenges in a supportive team environment. These projects not only help build technical skills but also provide exposure to how data-driven decisions are made in the organization.

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 strong quantitative skills, knowledge of statistics, and experience with data analysis, often supported by coursework in mathematics, computer science, or related fields. Familiarity with tools such as Python, R, SQL, and machine learning libraries, as well as experience using data visualization platforms like Tableau, is typically expected. Analytical thinking, attention to detail, and effective communication skills help interns present complex findings clearly and collaborate with team members. These abilities are critical for transforming data into actionable insights that drive decision-making in real business contexts.

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

AspectPredictive Analytics InternshipData Analyst Internship
Required SkillsStatistical modeling, programming (Python, R), data visualizationData cleaning, SQL, Excel, basic statistics
Work EnvironmentAnalytics teams, data science departmentsBusiness units, reporting teams
Industry UsageTech, finance, marketingRetail, healthcare, finance

Predictive Analytics Internships focus on building models to forecast future trends using statistical and machine learning techniques. Data Analyst Internships emphasize data cleaning, analysis, and reporting to support business decisions. Both roles require analytical skills, but predictive analytics internships often demand more advanced statistical knowledge and programming experience.

What is a predictive analytics internship?

A Predictive Analytics Internship is a temporary position, usually for students or recent graduates, that provides hands-on experience in analyzing data to forecast trends and outcomes. Interns work with datasets, statistical models, and machine learning tools to help organizations make data-driven decisions. The internship typically involves tasks like data cleaning, building predictive models, and interpreting results under the guidance of experienced analysts or data scientists. This role helps interns develop practical skills in analytics, programming, and business intelligence.
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Predictive Analytics Internship jobs near you
Infographic showing various Predictive Analytics Internship job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Research Fall 2026 Internship/Co-op -Early Anomaly Detection & Intervention

FM Corporation

Norwood, MA • On-site

Other

Posted 9 days ago

Job description

FM is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.

Data centers are experiencing unprecedented demands in power density driven by AI and high-performance computing workloads. In contrast to the modern development, traditional fire detection systems are designed to detect fires only after combustion has already occurred, creating a need for earlier anomaly detection methods capable of identifying precursors to thermal runaway, electrical faults, overheating, insulation degradation, arc events, and other incipient fire conditions.

This internship will investigate and evaluate advanced approaches for early anomaly detection and intervention in data center environments. The selected intern will conduct experimental and modeling research to characterize pre-fire signatures and assess potential intervention strategies before ignition or fire development.

Key Responsibilities

  • Conduct literature reviews, including internal reports and external publications.
  • Execute experimental test programs and collect high-quality data. The focus will be designing and building laboratory-scale experimental apparatus to simulate data center equipment faults and pre-fire conditions.
  • Develop models, correlations, and analytical techniques to interpret experimental results.
  • Document findings through technical reports, presentations, and research publications.

Qualifications

Location: Norwood, MA
Duration: 3–6 months starting from September 2026
Education Level: Ph.D. student in Fire Protection Engineering, Mechanical Engineering, Chemical Engineering, or related fields.

Required

  • Strong experimental and analytical skills.
  • Ability to independently design experiments and troubleshoot laboratory setups.
  • Experience with data analysis using Python, MATLAB, R, or similar tools.
  • Strong technical writing and communication skills.

Preferred

  • Experience in building experimental apparatus and integrating sensors with data acquisition systems.
  • Experience with statistical modeling, predictive analytics, or physics-based modeling.

This is an in-office role based in Norwood, MA.  Temporary relocation support provided for selected qualified candidate.

FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

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About FM

Sourced by ZipRecruiter

Industry

Plastics product manufacturing

Company size

51 - 200 Employees

Headquarters location

Rogers, AR, US

Year founded

1980

Social media

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