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Predictive Analytics Internship Jobs in Kentucky

$68 - $76/hr

Recent graduates and those with 1-3 years of internship or professional work experience across any combination of advanced and predictive analytics, marketing analytics, and analytic techniques for ...

New

$71 - $91/hr

... automation, analytics, software, AI, or engineering through coursework, internships, personal ... predictive analytics tools, and computer vision applications. Support Industrial IoT (IIoT ...

New

$71 - $91/hr

... automation, analytics, software, AI, or engineering through coursework, internships, personal ... predictive analytics tools, and computer vision applications. Support Industrial IoT (IIoT ...

New

$71 - $91/hr

... automation, analytics, software, AI, or engineering through coursework, internships, personal ... predictive analytics tools, and computer vision applications. Support Industrial IoT (IIoT ...

New

$60 - $85/hr

... AI, predictive analytics, and autonomous decision-making. * Ensure applications and AI agents ... internship or work experience. * Knowledgeable in use of Power Platform applications with Dataverse ...

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$89 - $133/hr

Implement and validate predictive, prescriptive, statistical, and machine learning models with a ... Coursework, projects, internship experience, or portfolio work involving data science, machine ...

$120 - $180/hr

Works with Predictive Analytics to ensure business is priced in accordance with company guidelines ... Excludes seasonal employees and interns. Why can you trust Great American Insurance Group? For ...

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SPRING Internship - Lexington, KY

Lexington, KY ยท On-site

$15 - $20/hr

... predictive modeling, anomaly detection, and utility analytics across every meter and system. For 13 ... This internship is a unique opportunity for students to gain real-world experience in promoting ...

$70 - $110/hr

JR014343As part of the Data Sciences & Analytics Team, you will work hands-on with innovative ... predictive audience segmentation. We are seeking a Data Analyst with a versatile skill set to ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Posted today

$55 - $70/hr

Learn and apply predictive modeling and simulation methods * Travel to test sites to observe ... through internships or coursework * Project coordination or data analysis experience Physical ...

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$60 - $80/hr

This Opportunity Takes part in providing local technical assistance for the analysis, development ... Prior internship related to the degree of study and the specific engineering discipline. * A member ...

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Predictive Analytics Internship information

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 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 are the most commonly searched types of Predictive Analytics jobs in Kentucky?

The most popular types of Predictive Analytics jobs in Kentucky are:

What are popular job titles related to Predictive Analytics Internship jobs in Kentucky?

For Predictive Analytics Internship jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Predictive Analytics Internship jobs?

Cities in Kentucky with the most Predictive Analytics Internship job openings:

Infographic showing various Predictive Analytics Internship job openings in Kentucky 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.

People, Culture, & Workforce Analytics Intern

GE Appliances

Louisville, KY โ€ข On-site

$14.50 - $19.25/hr

Part-time

Posted 8 days ago


Job description

At GE Appliances, a Haier company, we come together to make "good things, for life."As the fastest-growing appliance company in the U.S., we're powered by creators, thinkers and makers who believe that anything is possible and that there's always a better way.We believe in the power of our people and in giving them the freedom to explore, discover and build good things, together.

The GE Appliances philosophy, backed by three simple commitments defines the way we work, invent, create, do business, and serve our communities:we come together,we always look for a better way, andwe create possibilities.

Interested in joining us on our journey?

The People, Culture & Workforce Analytics Intern will support the People, Culture and Community Engagement team in developing innovative approaches to workplace culture, employee engagement, training and development, and workforce analytics. This academic-year internship provides a student with hands-on experience applying data analytics, digital technology and artificial intelligence tools to real-world human resources and business challenges. Working with the Senior Director of People, Culture and Community Engagement and cross-functional HR partners, the intern will learn how workforce data can be analyzed and translated into insights that help inform strategies related to workplace culture, employee engagement, talent development, employee acquisition and retention.
The intern will have opportunities to work with HR data and digital tools, identify workforce trends, develop dashboards and reports, research emerging HR and AI practices, and contribute to projects designed to enhance the employee experience.PositionPeople, Culture, & Workforce Analytics InternLocationUSA, Louisville, KYHow You'll Create Possibilities

Duties and Responsibilities

Workforce Data, Analytics & Predictive Insights - 30%

Support the collection, organization and analysis of workforce data related to employee engagement, culture, retention, talent development, learning and other workforce trends.

Assist with identifying patterns and correlations within HR data that may help the organization better understand employee experiences and workforce outcomes.

Explore appropriate applications of predictive analytics to workforce questions, including retention, employee engagement, talent acquisition and participation in development opportunities.

Assist in developing dashboards, scorecards and data visualizations that translate workforce information into clear and actionable insights.

Support analysis of employee survey, participation and program data to help measure the effectiveness of training programs and workplace culture initiatives.

Learn appropriate standards for handling confidential workforce information and the importance of data privacy, responsible analytics and ethical use of employee data.

Artificial Intelligence & Digital HR Innovation - 25%

Research and test emerging artificial intelligence and digital tools that may improve HR processes, employee engagement, learning and development, communications, and workforce analytics.

Assist with identifying opportunities to responsibly incorporate AI into HR workflows.

Develop and document potential AI use cases, prompts, workflows and digital solutions for approved HR projects.

Support pilot projects that explore how AI can improve the organization, analysis and presentation of workforce information.

Research emerging trends and best practices in AI-enabled HR, people analytics and digital employee experiences.

Assist with evaluating AI-generated outputs for accuracy, usefulness, potential bias and alignment with appropriate company practices.

Workplace Culture & Employee Engagement - 20%

Support workplace culture and employee engagement initiatives designed to strengthen connection, belonging and the overall employee experience.

Analyze participation and engagement data from employee programs and initiatives to identify trends and opportunities.

Support projects involving Employee Resource Groups, employee listening, workplace culture programming and other People, Culture, and Community Engagement initiatives.

Assist with measuring program outcomes and developing recommendations based on employee feedback and quantitative and qualitative data.

Partner with HR and other business functions on projects designed to improve employee connection and engagement across workforce populations.

Learning, Training & Talent Development - 15%

Support the research, development and evaluation of employee training and professional development initiatives.

Assist with analyzing training participation, completion, feedback and other data to identify learning trends and opportunities.

Research emerging approaches to digital learning, AI-enabled learning and personalized employee development.

Help develop digital resources, presentations and other materials supporting training and development programs.

Explore how workforce analytics can help identify skill gaps and inform future employee learning and development strategies.

Research, Project Management & Executive Presentations - 10%

Conduct research on emerging workplace, workforce analytics, talent and HR technology trends.

Assist with project planning, documentation, meeting preparation and follow-up for assigned projects.

Prepare presentations, summaries and data visualizations that communicate findings to HR and business leaders.

Translate complex data and research into concise, accessible business insights and recommendations.

Participate in meetings with HR professionals and cross-functional business partners to gain exposure to the application of people strategy within a large organization.

What You'll Bring to Our Team

Learning Objectives

Apply academic knowledge in data analytics, business, human resources and organizational development to real-world workforce challenges.

Develop practical experience working with workforce data and people analytics.

Understand how organizations use quantitative and qualitative information to inform decisions related to culture, engagement, talent acquisition, development and retention.

Gain experience with emerging AI and digital HR technologies and understand considerations surrounding their responsible use.

Strengthen analytical thinking, business communication, data visualization, research and project management skills.

Learn how HR professionals partner with business leaders to translate workforce insights into organizational strategies.

Develop experience communicating analytical findings and recommendations to professional and executive audiences.

Gain exposure to multiple areas of Human Resources and understand potential career pathways in people analytics, talent management, organizational development, employee experience and HR technology.

Preferred Qualifications

Currently enrolled in a four-year degree program, preferably pursuing a degree in Data Analytics, Human Resources, Human Resource Development, Business, Organizational Leadership, Information Systems, Computer Science, or a related field.

Strong interest in the intersection of people, data, technology and organizational performance.

Demonstrated analytical and problem-solving skills.

Interest in artificial intelligence, emerging technology and digital innovation.

Strong written and verbal communication skills.

Ability to organize information and communicate findings clearly to different audiences.

Proficiency with Microsoft Office applications, particularly Excel and PowerPoint; experience with data visualization or analytical tools is a plus.

Ability and willingness to learn new digital platforms and technologies.

Strong organizational and time-management abilities.

Ability to work collaboratively across teams and manage multiple assignments.

Commitment to maintaining appropriate confidentiality when working with employee and workforce information.

Curiosity and a desire to learn how data, technology and human-centered strategies can create a stronger workplace and employee experience.

Internship Structure

This is a part-time, academic-year internship within GE Appliances' People, Culture and Community Engagement organization. The internship will run from August 2026 through May 2027.

The intern will report directly to the Senior Director of People, Culture and Community Engagement and will have opportunities to collaborate with professionals across Human Resources and other business functions.

The internship is designed as an experiential learning opportunity that combines academic concepts with meaningful business projects. Assignments will provide increasing responsibility throughout the internship and opportunities for the student to develop a portfolio of analytical, digital and strategic HR work while gaining exposure to career pathways in human resources, workforce analytics, organizational development and HR technology.

Our Culture

Our work is centered on our People and Culture as reflected in our Zero Distance philosophy and we recognize the importance of reaffirming our commitment to inclusion and diversity (I&D). This underscores our commitment to fostering an environment where every individual feels valued, connected, and empowered to contribute, while positioning our organization to adapt seamlessly to the evolving needs of our workforce and communities.
This reflects our dedication to creating solutions that: Empower colleagues by fostering an environment where all voices are heard, valued, and encouraged to contribute. Strengthen communities where we live and work. Reinforce a culture of belonging, purpose, and engagement. Reflect the diversity of the communities we serve through our workforce, products, and practices.
By further embedding Zero Distance into our People and Culture framework, we will continue to build a deeply connected organization. We are cultivating a culture of engagement, belonging, and connection, because while attracting new talent remains a priority, retention is a cornerstone of our strategy.

GE Appliances is a trust-based organization. It is important we offer our employees the flexibility they need to do their best work while balancing the needs of the business and individuals. When you join GE Appliances, you will have the opportunity to work with your leader to create a flexible work arrangement that balances the needs of the individual, team, and organization.

GE Appliances is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Appliances participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S

If you are an individual with a disability and need assistance or an accommodation to use our website or to apply, please send an e-mail toask.recruiting@geappliances.com