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Temporary Predictive Analytics Jobs in Massachusetts

FM

Research Technical Intern V

Norwood, MA · On-site

$35/hr

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 ...

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What jobs use predictive analytics?

Jobs that use predictive analytics include data analysts, data scientists, business analysts, marketing analysts, financial analysts, and operations managers. These roles involve analyzing data sets, building models with tools like Python or R, and applying statistical techniques to forecast trends and support decision-making.

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Temporary Predictive Analytics jobs near you
Infographic showing various Temporary Predictive Analytics job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Research Technical Intern V

FM

Norwood, MA • On-site

$35/hr

Full-time

Re-posted 19 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

Facebook

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