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Internship Python Data Science Jobs in Elizabethtown, KY

Purple Drive Technologies

AI Engineer

Louisville, KY · On-site

Collaborate with data scientists, engineers, and product teams to integrate AI models into ... Strong programming skills in Python (preferred), with experience in libraries such as TensorFlow ...

Danaher

Digital Analyst Internships

Louisville, KY

$94.60K - $111.90K/yr

... Computer Science, Information Systems, or a related field * Familiarity with data analysis ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Louisville, KY

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

Humana

AVP Agent Assist

Louisville, KY

Architect and deliver production-grade AI features leveraging GCP, Python, Vertex AI, Gemini, and CES. * Partner withAIPlatform team,Product, UX, and Data Science as a technical stakeholder in ...

Humana, Inc.

AVP Agent Assist

Louisville, KY · On-site

Architect and deliver production-grade AI features leveraging GCP, Python, Vertex AI, Gemini, and CES. * Partner with AI Platform team, Product, UX, and Data Science as a technical stakeholder in ...

Humana

AVP Agent Assist

Louisville, KY · On-site

Architect and deliver production-grade AI features leveraging GCP, Python, Vertex AI, Gemini, and CES. * Partner withAIPlatform team,Product, UX, and Data Science as a technical stakeholder in ...

Humana

AVP Agent Assist

Louisville, KY

Architect and deliver production-grade AI features leveraging GCP, Python, Vertex AI, Gemini, and CES. * Partner withAIPlatform team,Product, UX, and Data Science as a technical stakeholder in ...

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Internship Python Data Science information

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How much do internship python data science jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship python data science in Elizabethtown, KY is $20.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $22.50 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What are popular job titles related to Internship Python Data Science jobs in Elizabethtown, KY? For Internship Python Data Science jobs in Elizabethtown, KY, the most frequently searched job titles are:
Internship Python Data Science jobs near you

Machine Learning Engineer

Purple Drive Technologies

Louisville, KY • On-site

Full-time

Posted 10 days ago

Job description

Overview:
Job Title: Machine Learning Engineer
Location: Louisville, KY
Responsibilities:
  • Build, train, and deploy ML models for business use cases (classification, NLP, CV, recommendation).
  • Preprocess and analyze large datasets.
  • Collaborate with teams to integrate ML solutions into applications.
  • Monitor and improve model performance using MLOps practices.
  • Stay updated on new AI/ML techniques and tools.

Requirements:
  • Bachelor's/Master's in CS, Data Science, or related field.
  • Strong Python skills with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with data pipelines, SQL/NoSQL, and cloud platforms (AWS/GCP/Azure).
  • Knowledge of MLOps (Docker, Kubernetes, MLflow, Airflow).
  • Strong problem-solving and analytical skills.

Apply