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Data Science Intern Jobs in Kentucky (NOW HIRING)

$200 - $250/hr

Data Science Strategy & Business Partnership * Define and own the strategy and roadmap for Invitation Homes' data science and machine learning capabilities, aligning technical priorities with the ...

$150 - $200/hr

... Science, or related field plus 2 years of experience as a Data Scientist, Data Analytics Extern, Data Scientist Intern, or related occupation. * Must have prior experience, internship, project ...

$150 - $200/hr

Overview The Data Science Manager is a player-coach who leads a small, high-output team while staying deeply hands‑on. This role owns the full scope of data science at Appriss Retail -- data ...

$150 - $200/hr

Apply data science and analytical methods to develop reusable models, reports, dashboards, and decision-support products. * Monitor the reliability and usefulness of data products and agentic ...

$150 - $200/hr

This role is a unique blend of a data scientist, a decision scientist, and a strategic advisor. You will be empowered to provide the actionable recommendations that optimize our business end-to-end ...

$150 - $200/hr

The Enterprise Data Science team sits at the center of the company, partnering with business leaders to deliver solutions that create durable competitive advantage. We are seeking a highly motivated ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Overview This is an intern level position at the LG&E and KU Generation Services System Laboratory ... Maintain documentation/computer entry of daily data. * Prepare laboratory reagents necessary for ...

$150 - $200/hr

This position will apply advanced data science, statistical modeling, and machine learning techniques to large-scale financial datasets in support of financial crime detection and analysis. The ideal ...

$125 - $150/hr

Quality Assurance & Best Practices - Establish and enforce best practices in data science methodologies, model validation, and documentation. * Advanced Data Analysis & Modeling * Lead the ...

$100 - $125/hr

If you are passionate about applying data science and AI to solve real business problems, thrive in a collaborative environment, and care deeply about the quality and impact of your work you will do ...

$150 - $200/hr

D. in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field (Master's with extensive experience considered) * Experience: 7+ years of experience building and ...

Showing results 41-60

Data Science Intern information

See Kentucky salary details

$10

$19

$36

How much do data science intern jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data science intern in Kentucky is $19.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $21.30 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Kentucky?

The most popular types of Data Science jobs in Kentucky are:

What are popular job titles related to Data Science Intern jobs in Kentucky?

For Data Science Intern jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Data Science Intern jobs?

Cities in Kentucky with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Kentucky as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $40,655 per year, or $19.5 per hour.
Invitation Homes LP
Real Estate • 1 - 5K employees

$200 - $250/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Invitation Homes rating

8.7

Company rating: 8.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

14th of 260 rated facilities management


Job description

Unlock the Power of You

At Invitation Homes, our associates are the foundation of our success. We connect your work to real impact, invest in your growth, and welcome you to feel at home — because care isn't just something we say, it's something you experience.

Invitation Homes owns and operates homes in great neighborhoods across 16 top U.S. markets. We continue to innovate with smart home technology, an industry-leading maintenance app, and other lifestyle-enhancing services that make leasing easier than owning.

Our market teams — Leasing, Property Management, and Rehab, Turns & Maintenance — work together to deliver excellent resident experiences and maintain high-quality homes. Every associate plays a meaningful role in that mission.

Invitation Homes does not offer employment-based visa sponsorship for this role at this time.

What you’ll do day-to-day

The Vice President, Data Science will lead Invitation Homes’ data science function—owning the strategy, technical direction, and hands‑on development of the quantitative models and machine learning systems that drive decision‑making across marketing, resident acquisition and retention, customer experience, pricing, and portfolio performance. This is a hands‑on leadership role split roughly evenly across three areas: partnering with senior leaders on strategy and roadmap, coaching and developing the team, and personally building and validating models. You will set the vision and standards for the team while staying close enough to the technical work to frame problems, build models, and shepherd them into production.

You will partner closely with senior marketing, operations, and technology leaders to identify high‑value opportunities, shape the analytics roadmap, and deliver scalable, reliable solutions that improve the speed, consistency, and quality of business decisions. You will lead a small, high‑performing team of data scientists and machine learning engineers, dividing your time between coaching and developing talent and personally contributing to the most complex, highest‑impact work.

The ideal candidate is a proven technical leader who combines deep data science and machine learning expertise with strong business judgment and communication skills—someone who can translate ambiguous business problems into data‑driven decision systems, mentor a growing team, and turn technical excellence into measurable business value.

Data Science Strategy & Business Partnership

  • Define and own the strategy and roadmap for Invitation Homes’ data science and machine learning capabilities, aligning technical priorities with the company’s most valuable business opportunities.
  • Partner with marketing, operations, revenue management, and technology leadership to identify, prioritize, and deliver analytical solutions with the greatest business impact—focused on resident acquisition, engagement, retention, and loyalty; customer experience; pricing; and long‑term value.
  • Translate complex business challenges into clear roadmaps, delivery plans, and measurable outcomes, and curate a backlog that sets expectations on the timing of deliverables.
  • Represent data science in planning, prioritization, and investment discussions, and communicate findings and recommendations clearly to senior business stakeholders with supporting visualizations.

Technical & Analytical Leadership

  • Dedicate roughly a third of your time to personal technical contribution—model development, experimentation, and validation—on the highest‑impact work.
  • Set technical standards and direction across modeling, experimentation, deployment, monitoring, and governance for the team.
  • Provide leadership in advanced analytical methods including predictive modeling, forecasting, optimization, segmentation, and machine learning.
  • Persistently assess the status quo, looking for opportunities to simplify, optimize, and improve existing analytical constructs and solutions.
  • Evaluate and responsibly adopt emerging capabilities, including generative AI, where they create measurable business value.

Production Machine Learning & Decision Systems

  • Own the full analytical and machine learning lifecycle—from framing business problems and developing models through production deployment, monitoring, and continuous improvement.
  • Ensure analytical and machine learning systems are designed as reliable, reproducible, and auditable end‑to‑end decision systems.
  • Guide development of production‑grade solutions on modern cloud‑based data platforms.
  • Institutionalize the processes of aggregating, organizing, and preparing data for analysis, and create stable refresh processes that keep findings and insights fresh.
  • Advance modern engineering practices including version control, CI/CD, automation, and reusable delivery patterns.

Team Leadership & Talent

  • Lead, mentor, and grow a small, high‑performing team of data scientists and machine learning engineers, dedicating roughly a third of your time to coaching and developing talent.
  • Attract, assess, hire, and retain exceptional technical talent, and develop team members through coaching and structured development.
  • Establish a culture of accountability, ownership, collaboration, and continuous improvement.
  • Help upskill data and analytics expertise across the team and among business partners.

Quality, Governance & Continuous Improvement

  • Establish high standards for reproducibility, data quality, code quality, validation, and production support.
  • Ensure analytical decisions are correct, explainable, and defensible before deployment.
  • Continuously improve the team’s operating model and delivery practices.
  • Work closely with the business intelligence team to create on‑brand visualizations and management tools that improve performance related to customer acquisition and experience.

What You Bring

Education and/or Experience

  • BA/BS degree with emphasis on a quantitative discipline (e.g., Data Science, Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, Operations Research) required; advanced degree (MS or PhD) in a quantitative or applied science strongly preferred.
  • 10+ years of experience in data science, machine learning, or applied analytics, including substantial hands‑on ownership of model development and production machine learning systems.
  • 5+ years of experience leading and developing data science or machine learning talent, with a demonstrated ability to build and mentor high-performing teams while remaining hands‑on.
  • Demonstrated experience building, deploying, and operating machine learning or optimization systems in production, with accountability across the full lifecycle from design through deployment, monitoring, and retraining.
  • Demonstrated success applying predictive, prescriptive, forecasting, optimization, and segmentation methods to complex business problems.

Technical Skills

  • Strong hands‑on proficiency in SQL and Python (experience with R or other languages a plus).
  • Experience with cloud platforms (e.g., AWS, GCP, or Azure) and modern data technologies (e.g., Snowflake, Spark, or Databricks).
  • Expertise in data visualization tools (e.g., Tableau; Datorama a plus).
  • Experience accessing various APIs and scripting refresh/update and ETL/ELT processes.
  • Experience analyzing and assessing marketing channel performance—including digital ads, Google Ads, Facebook, and web analytics—a plus.

Other Requirements

  • Demonstrated success using performance‑based / ROI analysis to drive decisions and recommendations for resident and business strategy.
  • Excellent verbal and written communication, with a proven ability to explain analytical concepts and results to senior business leaders.
  • Demonstrated experience analyzing customer behavior and creating customer segmentation.
  • Strong business judgment and the ability to shape strategy and lead cross‑functional prioritization.
  • Ability to be at work on a regular and consistent basis.

Why Invitation Homes

We believe when our residents thrive, our associates thrive. Here, you're not just filling a role — you're building a career at a company that invests in your growth and welcomes you for who you are.

What's in it for you

  • Competitive pay and annual bonus program for all associates
  • Generous PTO including vacation accrual, sick time, volunteer time, and standard and floating holidays
  • 401(k) with company matching contributions
  • Casual dress code and a genuinely great work environment
  • Team events, celebrations, and a culture that values connection
  • Employee Resource Groups: Together with Women, Asian Alliance, Black Collective, Juntos, Gen Next, and Open Invitation
  • Career growth paths and learning opportunities — we promote from within
Salary Range

The salary range for this position is: $177,825.00 - $308,230.00, plus individuals may be eligible for an annual discretionary bonus. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, location, and applicable employment laws.

Compensation and Benefits

To attract and retain top talent, we're pleased to offer competitive compensation and benefits, including:

  • Annual bonus program
  • Health, dental, vision, and life insurance
  • Long-term and short-term disability insurance
  • Generous paid time off plans include vacation accrual, sick time, standard holidays and floating holidays
  • 401(k) with company matching contributions
  • Awesome work environment with casual dress
  • Team events and gatherings (Pre- and Post-Covid)

Invitation Homes is an equal opportunity employer committed to fostering a diverse, inclusive and innovative environment with the best associates. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status or any other factor protected by applicable federal, state or local law. If you have a disability or special need that requires accommodation, please contact us at humanresources@invitationhomes.com.

To all recruitment agencies: Invitation Homes does not accept agency resumes. Please do not forward resumes to Invitation Homes employees. Invitation Homes is not responsible for any fees related to unsolicited resumes.

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