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Predictive Analytics Intern Jobs in Pennsylvania

Phytogenx Incorporated

Operations AI Intern

Morgantown, PA · On-site

$14.75 - $19.50/hr

Collect, clean, and analyze operational datasets from manufacturing systems (e.g., production logs ... Build lightweight prototypes such as predictive models, computer vision tools, or workflow ...

TERRACON

Senior Staff Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

This may include performing and/or leading field investigations, engineering analysis, calculations ... From AI-supported solutions and predictive technologies to geophysics and traditional exploration ...

TERRACON

Senior Staff Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

This may include performing and/or leading field investigations, engineering analysis, calculations ... Engineer-in-Training (EIT) or Engineering Intern (EI) required and ability to obtain a registration ...

All JobsPredictive Analytics Intern JobsPredictive Analytics Intern Jobs in Pennsylvania

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?

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.
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Predictive Analytics Intern jobs near you

Operations AI Intern

Phytogenx Incorporated

Morgantown, PA • On-site

$14.75 - $19.50/hr

Other

Re-posted 16 days ago

Job description

We are seeking a motivated AI Intern to support focused artificial intelligence and automation projects across our manufacturing operations. This role is ideal for a student or early‑career technologist who wants real‑world experience applying modern AI tools to solve practical production, quality, and workflow challenges. You will work closely with engineering, operations, and quality teams to prototype AI solutions, analyze data, and help streamline processes. This is a hands‑on role with exposure to a wide variety of manufacturing systems and continuous improvement initiatives.

Key Responsibilities
  • Assist in designing, testing, and deploying AI‑powered solutions that support production, quality, and efficiency goals.
  • Collect, clean, and analyze operational datasets from manufacturing systems (e.g., production logs, quality data, equipment metrics).
  • Build lightweight prototypes such as predictive models, computer vision tools, or workflow automations.
  • Support development of dashboards, reports, and visualizations for plant metrics and AI outputs.
  • Collaborate with cross‑functional teams to document requirements, findings, and implementation steps.
  • Research new AI tools, frameworks, and best practices applicable to manufacturing environments.
  • Maintain clear documentation of models, workflows, and results.
    • Preferred Qualifications
  • Currently pursuing a degree in Computer Science, Data Science, Engineering, AI/ML, Industrial Engineering, or related field.
  • Foundational knowledge of machine learning concepts and data analysis.
  • Experience with Python, SQL, AI frameworks, computer vision tools, visualization software, or automation platforms is a plus.
  • Interest in manufacturing, process optimization, or industrial automation.
    • Soft Skills
  • Strong problem‑solving mindset and curiosity.
  • Willingness to learn new tools quickly.
  • Ability to communicate findings to both technical and non‑technical teams.
  • Detail‑oriented, organized, and able to work independently with guidance.
    • What You’ll Gain
  • Hands‑on experience applying AI to real operational challenges.
  • Exposure to modern manufacturing processes and industrial systems.
  • Mentorship from engineers and leaders supporting innovation initiatives.
  • Opportunity to contribute directly to efficiency, quality, and capability improvements.

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