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Predictive Analytics Internship Jobs in Ohio (NOW HIRING)

ComResource

Junior Data Scientist

Columbus, OH · On-site

Academic, internship, Kaggle, or personal machine learning projects. * Familiarity with cloud platforms such as AWS, Azure, or GCP. * Interest in AI, predictive analytics, and forecasting. Note to ...

New

Sherwin-Williams

Workforce Analytics Manager

Cleveland, OH · On-site

$98K - $126K/yr

Leads development of predictive and diagnostic workforce analytics capabilities. * Identifies ... At least some informal experience supervising the work of interns, peers, or subordinates. * Strong ...

Metallus

Maintenance & Reliability Intern

Eaton, OH · On-site

$19.25 - $33.50/hr

Metallus Internship Program At Metallus, our internship program is designed to make you part of our ... analyzing equipment failures and identifying root causes * Support preventive and predictive ...

Metallus

Maintenance & Reliability Intern

Eaton, OH · On-site

$19.25 - $33.50/hr

Metallus Internship Program At Metallus, our internship program is designed to make you part of our ... analyzing equipment failures and identifying root causes * Support preventive and predictive ...

Metallus

Tube Mill Maintenance Engineering Intern

Canton, OH · On-site

$19.25 - $33.50/hr

Analyze maintenance and equipment data to help identify reliability trends and support predictive ... Internship Qualifications: * Minimum cumulative GPA of 2.5 * Must have completed 30 or more credit ...

Metallus

Tube Mill Maintenance Engineering Intern

Canton, OH · On-site

$19.25 - $33.50/hr

Analyze maintenance and equipment data to help identify reliability trends and support predictive ... Internship Qualifications: * Minimum cumulative GPA of 2.5 * Must have completed 30 or more credit ...

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Predictive Analytics Internship information

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.
What are the most commonly searched types of Predictive Analytics jobs in Ohio? The most popular types of Predictive Analytics jobs in Ohio are:
What are popular job titles related to Predictive Analytics Internship jobs in Ohio? For Predictive Analytics Internship jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Predictive Analytics Internship jobs in Ohio look for? The top searched job categories for Predictive Analytics Internship jobs in Ohio are:
What cities in Ohio are hiring for Predictive Analytics Internship jobs? Cities in Ohio with the most Predictive Analytics Internship job openings:
Predictive Analytics Internship jobs near you
Infographic showing various Predictive Analytics Internship job openings in Ohio 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.

Junior Data Scientist

ComResource

Columbus, OH • On-site

Other

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

Job description

Location: Columbus, OH (Hybrid – onsite several days per week with flexibility)


Position Overview

ComResource is seeking a Junior Data Scientist. This is an excellent opportunity for a recent college graduate or early-career Data Scientist looking to gain hands-on experience building predictive models, working with machine learning, and supporting AI initiatives in a collaborative environment.


You'll work alongside experienced Data Science leaders on projects that drive business decisions through predictive analytics and forecasting. If you're curious, eager to learn, and passionate about solving business problems with data, this role offers an outstanding opportunity to grow your career.


Key Responsibilities

  • Build, test, and improve predictive machine learning models.
  • Analyze large datasets to uncover trends and actionable insights.
  • Support forecasting initiatives, including demand planning, cash flow, and treasury forecasting.
  • Perform data preparation, feature engineering, and model optimization.
  • Assist with deploying and monitoring machine learning models in production.
  • Collaborate with Data Engineers and cross-functional teams to build scalable analytics solutions.
  • Translate business challenges into data-driven recommendations.
  • Stay current on emerging AI, machine learning, and analytics technologies.


Required Qualifications

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or another quantitative field.
  • Recent graduate or 0-3 years of Data Science experience (internships, co-ops, research, or professional experience).
  • Strong programming skills in Python.
  • Experience writing SQL queries.
  • Understanding of machine learning concepts such as regression, classification, and time series forecasting.
  • Experience with common Python libraries such as Pandas, NumPy, and Scikit-learn.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Eagerness to learn and grow in a team environment.


Preferred Qualifications

  • Exposure to Databricks.
  • Experience with Git or other version control tools.
  • Academic, internship, Kaggle, or personal machine learning projects.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Interest in AI, predictive analytics, and forecasting.


Note to Agency Recruiters: ComResource will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any ComResource colleagues, directly or indirectly, will be considered ComResource property.


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