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Internship Python R Jobs in Flint, MI (NOW HIRING)

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Internship Python R information

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 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 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 cities near Flint, MI are hiring for Internship Python R jobs? Cities near Flint, MI with the most Internship Python R job openings:
Internship Python R jobs near you

Computer Engineer - Level 1

Boost My Claims Advanced Rehab Management

Grand Blanc, MI • On-site

$95K - $112K/yr

Full-time

Re-posted 19 days ago

Job description

!!Important: This is a full-time, in-office position located in Grand Blanc, Michigan. Applicants must currently reside in Michigan and be able to work onsite. Relocation assistance is not available.



Advanced Rehab Management Services (ARMS) is a health technology company that helps physical therapy providers maximize revenue and grow their practices through our proprietary BOOST platform.


BOOST serves thousands of clinics across the country by helping providers protect and maximize reimbursement on Workers' Compensation and Auto claims through innovative technology, automation, and operational expertise.


Role Overview

This is anentry-level technical and analytical roledesigned for someone who is highly curious, systems-oriented, and comfortable working with data.


You'll support reporting, system improvements, workflow optimization, and platform operations while learning Boost from start to finish. Over time, this role has aclear growth pathinto managing and optimizing the Boost platform.


This is not a passive role. You'll be expected to think, ask questions, and help make things better.


Responsibilities

Technology & Systems

  • Assist withSalesforce workflow improvements and automation

Data & Reporting

  • Build and maintainreports and dashboardsfor leadership, sales, and marketing
  • Pull and analyze data to support operational and strategic decisions
  • Identify trends, gaps, and opportunities through data analysis

Boost Platform Operations

  • Learn the Boost processend-to-end
  • Support day-to-day platform operations
  • Help identify bottlenecks and inefficiencies
  • Participate in improving workflows as the company scales

Process Improvement

  • Identify inefficiencies and propose solutions
  • Help design and implement improved workflows
  • Support special projects related to automation, data, and optimization
  • Help maintain and improve system efficiency and reliability
  • SupportEDI processes, learning how electronic data flows through the platform and how to optimize it
  • Document and improve internal technical processes


Required Qualifications

  • Bachelor's degree (or graduating soon) in:
  • Computer Science
  • Data Analytics
  • Management Information Systems (MIS)
  • Industrial Engineering
  • Information Systems
  • Or a related technical field
  • Basic understanding of databases, reporting tools, or data analysis
  • Examples: SQL, Excel, Power BI, Tableau, Looker, Python, R, or similar
  • Strong analytical and problem-solving skills
  • Comfort working with systems, logic, and data
  • High attention to detail
  • Ability to learn quickly and adapt in a fast-growing environment


Nice to Have (Not Required)

  • Exposure to Salesforce or CRM platforms
  • Experience with workflow automation or process mapping
  • Internship or project experience involving data or systems
  • Interest in health technology or SaaS products


Growth Path

This role is designed as alaunchpad. High performers can grow into:

  • Boost Program Manager
  • Systems or Product Manager
  • Data & Process Optimization Lead


Why This Role Is Different

  • You'll learn how a tech platform is built and scaled
  • Your ideas will be implemented, not ignored
  • You'll work closely with leadership

Apply