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Internship Python R Jobs in Tennessee (NOW HIRING)

Navstar

Jr. AI/ML Engineer

Tullahoma, TN · On-site

... such as (python, R, Java, JavaScript, or C++); assisting in the development of algorithms for ... Providing technical guidance and mentorship to junior engineers or interns. * Documenting code ...

Cigna

Actuarial Internship - Summer 2027

Franklin, TN · On-site +1

Our internship is a key pipeline into full-time roles in the AEDP - our primary pathway for ... Python, R, SQL, AIenabled tools, or other emerging technologies to support analysis and drive ...

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Internship Python R information

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

To thrive in a Python/R internship, you need foundational knowledge in programming with Python and R, basic statistics, and a relevant academic background in computer science, data science, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, tidyverse), version control systems (such as Git), and data visualization tools is typically required. Strong problem-solving abilities, attention to detail, and the willingness to learn make candidates stand out. These skills are crucial for effectively contributing to data-driven projects and adapting to the learning-focused environment of an internship.

What types of projects or tasks can I expect to work on during a Python/R internship?

As a Python/R intern, you’ll typically assist with data analysis, data cleaning, and visualization projects, often working alongside experienced data scientists or analysts. Many internships involve using Python or R to automate data processing, support research efforts, or build basic machine learning models. You may also contribute to documentation, testing code, and presenting findings to your team. This hands-on experience is designed to strengthen your programming skills and expose you to collaborative workflows common in data-driven environments.

What are Internship Python R positions?

Internship Python R positions are entry-level opportunities for students or recent graduates to gain practical experience working with Python and R programming languages. These internships typically involve tasks such as data analysis, scripting, software development, or research projects that utilize Python and R for statistical computing and data manipulation. Interns learn valuable skills in coding, problem-solving, and collaborating on real-world projects, often in fields like data science, finance, healthcare, or academia. They provide a stepping stone for building a career in technology or data-driven industries.

What is the difference between Internship Python R vs Data Analyst?

AspectInternship Python RData Analyst
Required SkillsBasic Python and R programming, data manipulationData analysis, SQL, visualization tools
Work EnvironmentInternship setting, entry-level projectsFull-time, corporate or research settings
CertificationsOptional, often includes online coursesOften requires or prefers certifications in data analysis or related fields

Internship Python R roles are entry-level positions focusing on learning and assisting with data projects using Python and R. Data Analyst roles are more advanced, involving comprehensive data analysis, reporting, and decision-making. Internships serve as a stepping stone toward full Data Analyst positions, which require more experience and skills.

What cities in Tennessee are hiring for Internship Python R jobs? Cities in Tennessee with the most Internship Python R job openings:
Internship Python R jobs near you
Jr. AI/ML Engineer

Jr. AI/ML Engineer

Navstar

Tullahoma, TN • On-site

Other

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

Job description

Jr. SW – AI Engineer

Job Location: Tullahoma, TN – Arnold AFB (on-site) 47 Wattendorf Memorial Hwy, Tullahoma, TN 37388 Clearance: Active Secret highly preferred. US Citizenship and the ability to obtain and maintain a DoD Secret Clearance. Relocation: Candidates willing to relocate within 2-4 weeks will be considered Compensation: 80-90K

Job Summary: The successful candidate will work as a team member to develop and utilizes simulations and models. Evaluates tools, technologies, architectures, models, and test results. Heads meetings regarding AI with external parties and internal business-embedded innovation teams. Collaborates with lead engineers to define subsystem requirements and acceptance criteria.

Basic Qualifications:

  • BS Degree: AI Engineers candidates should hold a Bachelor's or Master's Degree in Computer Science, Mathematics, Statistics, Robotics, Artificial Intelligence, Machine Learning, Data Science, or related technical field from an accredited university.
  • 1 to 3 years of experience designing and implementing Machine Learning/AI models using various programming languages such as (python, R, Java, JavaScript, or C++); assisting in the development of algorithms for training AI models.
  • Current U. S. Citizenship is required.
  • DoD Secret security clearance
  • Strong written and verbal communication skills.
  • Strong Microsoft Office skills.
  • Current Security+ certification preferred, or able to obtain one

Job Duties:

  • Support the Project Managers managing large and complex capital improvement projects in an assigned branch.
  • Prepare and provide reports for that assist the Project Managers with tracking and control of the scope of work, resource utilization, schedules, and work accomplishments.
  • The AI Engineer is responsible for designing, developing, testing, and maintaining artificial intelligence (AI) systems and applications.
  • General responsibilities include:
    • Designing and implementing machine learning models using various programming languages such as Python, R, Java, JavaScript or C++.
    • Collaborating with data scientists to develop algorithms for training AI models.
    • Conducting research on new technologies in the field of AI and applying them to improve existing systems.
    • Optimizing AI models for performance, scalability, and efficiency.
    • Integrating AI solutions into various software applications or platforms.
    • Collaborating with cross-functional teams such as product managers, UX designers, and data analysts to ensure the successful deployment of AI projects.
    • Ensuring that AI systems are secure, reliable, and adhere to ethical guidelines.
    • Staying up-to-date on industry trends and best practices in AI development.
    • Providing technical guidance and mentorship to junior engineers or interns.
    • Documenting code, models, and processes for future reference and collaboration with other team members.
    • Perform other related duties as required.

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