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Predictive Analytics Internship Jobs in Kentucky

$110 - $125/hr

Iterate based on measurable predictive lift and CS feedback. Apply AI and Modern Tooling * Leverage ... Analytics, or related field. * 0-3 years of experience (internships included) in analytics ...

New

$90 - $120/hr

Implement predictive tools (vibration analysis, cycle monitoring) to integrate into maintenance to ... internships and project work are applicable) PREFERRED SKILLS AND EXPERIENCE: * 2+ years of ...

$75 - $85/hr

Assists in analyzing large, complex datasets to identify trends, patterns, and opportunities ... Designs, develops, and deploys predictive models for underwriting, pricing, claims, and customer ...

New

$86 - $134/hr

Support preventive and predictive programs related to process reliability and chemical engineering ... Familiarity with Process Safety Management (PSM), including Process Hazard Analysis (PHA) and ...

$60 - $80/hr

Support wireless assessments and predictive designs using Ekahau AI Pro tools. * Work closely with ... With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen ...

New

Showing results 21-25

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.

AI Customer Insights Engineer

Seeq

On-site

$110 - $125/hr

Other

Medical, Dental, Vision, Life, PTO

Posted yesterday

New


Job description

The AI Customer Insights Engineer builds scalable intelligence workflows that help Seeq’s Customer Success organization act earlier, smarter, and more strategically.

This role sits within Customer Success and operates at the intersection of product usage analytics, customer health modeling, workflow automation, and applied AI. The mission is to transform raw customer data—usage, engagement, and contract signals—into actionable insights delivered to the right people at the right time.

This is an early-career, high-potential role ideal for an engineering graduate or former process engineer pivoting into analytics and software.

Key Duties & Responsibilities: Build Customer Intelligence Workflows
  • Design and deploy account-level Slack summaries for CSMs and leadership.
  • Translate product usage and contract data into operational signals.
  • Build or extend data pipelines in partnership with Analytics Engineering.
  • Develop Python-based automation to operationalize insights at scale.
Improve Health & Renewal Predictability
  • Contribute to Seeq’s customer health scoring framework.
  • Develop usage-to-renewal correlation models.
  • Identify leading indicators of risk, expansion, and adoption.
  • Iterate based on measurable predictive lift and CS feedback.
Apply AI and Modern Tooling
  • Leverage AI-first coding workflows to accelerate development.
  • Build lightweight LLM-driven synthesis workflows where valuable.
  • Help elevate development practices across Customer Success.
Partner Cross-Functionally
  • Work directly with CSMs to understand real decision workflows.
  • Collaborate with Analytics Engineers on modeling and data structure.
  • Feed product insights back into engineering through internal dogfooding.
Requirements
  • Bachelor’s degree in Chemical, Mechanical, Electrical, Industrial, Systems Engineering, Computer Science, Applied Math, Data Analytics, or related field.
  • 0–3 years of experience (internships included) in analytics, engineering, or technical roles.
  • Working knowledge of SQL.
  • Strong Python skills.
  • Exposure to data modeling concepts.
  • Familiarity with LLMs or AI-assisted development tools.
  • Comfort operating in ambiguity.
  • Strong written communication skills.
Preferred Qualifications
  • Background in process manufacturing or industrial engineering.
  • Exposure to BI tools (e.g., PowerBI).
  • Familiarity with product analytics platforms (e.g., Mixpanel).
  • Experience building Slack automations or APIs.
  • Exposure to modern data pipelines (e.g., Azure Data Factory).
  • Demonstrated curiosity about customer behavior and causal mechanisms.

Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments.

We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability.

We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers’ expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work.

The Perks of Working at Seeq
  • Competitive salary plus bonus incentives
    • $115,000 USD base salary plus variable
  • Benefits:
    • 12-week paid Seeq family leave
    • Unlimited PTO
    • Internet and mobile phone reimbursements
    • Medical benefits
    • Group term life insurance
    • Short-term and long-term disability insurance pre-tax benefits
    • Voluntary vision and dental (ortho)
    • Vacation bonus program
    • Employee Assistance Program
    • Generous home office allowance
    • The best co-workers (we've analyzed the data, so we know it's true.)
    • Pet-friendly workspace (your dog will be so happy to have you home)
    • You love your job!

Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.

You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas

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