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Predictive Analytics Intern Jobs in Columbia, SC

Helion Group

Reliability Engineer Intern

Columbia, SC · On-site

$30 - $40/hr

Reliability Engineering Intern / Co-op Location: Cayce, South Carolina Schedule: Monday-Friday ... data analysis, reliability reporting, predictive-maintenance support and a defined improvement ...

New

Helion Group

Reliability Engineer Intern

Columbia, SC · On-site

$30 - $40/hr

Reliability Engineering Intern / Co-op Location: Cayce, South Carolina Schedule: Monday-Friday ... data analysis, reliability reporting, predictive-maintenance support and a defined improvement ...

New

All JobsPredictive Analytics Intern JobsPredictive Analytics Intern Jobs in Columbia, SC

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 are popular job titles related to Predictive Analytics Intern jobs in Columbia, SC?

For Predictive Analytics Intern jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Predictive Analytics Intern jobs in Columbia, SC look for?

The top searched job categories for Predictive Analytics Intern jobs in Columbia, SC are:

Predictive Analytics Intern jobs near you

Reliability Engineer Intern

Columbia, SC • On-site

Helion Group
See more jobs at Helion Groupexternal

$30 - $40/hr

Internship

This job post has expired today. Applications are no longer accepted.

Job description

Reliability Engineering Intern / Co-op

Location:Cayce, South Carolina

Schedule:Monday–Friday, approximately 6:00 a.m.–3:00 p.m.

Work split:Approximately 50% plant floor / 50% office and data analysis

Position Overview

We are seeking a Reliability Engineering Intern or Co-op to support its Central Maintenance and Reliability team.

This is a hands-on learning opportunity for an engineering student interested in understanding how large industrial equipment operates, how failures are investigated and how maintenance data is used to reduce downtime.

The intern will work with reliability engineers and technicians across the melt shop and rolling mill. Responsibilities will include field inspections, equipment-data analysis, reliability reporting, predictive-maintenance support and a defined improvement project.

This is not a desk-only internship. Candidates must be interested in spending significant time in an active steel-mill environment.

Eligible Degree Programs

  • Mechanical Engineering
  • Mechanical Engineering Technology
  • Industrial Engineering
  • Mechatronics Engineering
  • Electromechanical Engineering Technology
  • Manufacturing Engineering
  • Electrical Engineering
  • Electrical Engineering Technology
  • Reliability or Maintenance Engineering

Mechanical Engineering and Mechanical Engineering Technology students are especially well aligned with the equipment supported by this department.

Key Responsibilities

  • Shadow reliability engineers and technicians throughout the facility
  • Learn the melt-shop and rolling-mill processes
  • Assist with field inspections and equipment-condition assessments
  • Collect, organize and analyze maintenance and equipment data
  • Pull work-order and failure information from SAP/CMMS
  • Help identify recurring failures and frequently problematic assets
  • Assist with vibration monitoring, thermal imaging and other predictive-maintenance activities
  • Support root-cause investigations
  • Update equipment records, maintenance documentation and reliability reports
  • Communicate with engineers, technicians, millwrights, electricians and operations personnel
  • Complete and present a defined reliability-improvement project

Candidate Qualifications

  • Currently pursuing an engineering or engineering-technology degree
  • Interest in reliability, industrial maintenance, manufacturing or heavy equipment
  • Basic understanding of mechanical or electrical systems
  • Strong curiosity about how equipment operates and why it fails
  • Ability to organize information and communicate findings
  • Working knowledge of Microsoft Excel
  • Willingness to ask questions and seek out learning opportunities
  • Ability to work safely in a hot, noisy and physically demanding environment
  • Willingness to spend approximately 50% of the assignment on the plant floor

Helpful Experience

Previous industrial experience is helpful but not required. Relevant experience may come from:

  • Manufacturing internships
  • Maintenance or mechanical work
  • Automotive or equipment repair
  • Robotics teams
  • Engineering design projects
  • Farm or heavy-equipment experience
  • Vibration, thermal or lubrication coursework
  • Excel, Power BI or data-analysis projects

You should be proficient in:

  • internship
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