Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,394 postings in the last year. Stated ranges, not salaries paid.
Data Science Intern (Summer 2027)
Greensboro, NC
Live, first seen by us 58 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
Temporary — employment source
Employment type in the employer’s posting: TEMP
From the employer’s posting
Before you apply
- New graduates
- For current students
Currently pursuing a bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field or Associate degree holders with relevant skills and experience
What you’ll work on
Full postingProcess and analyze complex data from diverse sources for business insights
Build and deploy machine learning models
Design and deploy containerized applications to a Kubernetes cluster
Integrate LLM-powered features into products
Build Streamlit UI prototypes to gather user feedback
From the employer’s posting
Process and analyze complex data from diverse sources to extract business insights.
Build and deploy machine learning models.
Design, develop, and deploy containerized applications to our Kubernetes cluster.
Work with Large Language Models (LLMs) to develop and integrate AI-powered features into our products.
Build UI applications using Streamlit or a similar framework to create product prototypes and gather user feedback
What you’ll bring
All qualificationsCore experience
- Currently pursuing a bachelor's degree or higher, or an associate degree with relevant skills
- Experience with data analysis and machine learning model development
- Experience with SQL and database management systems
Qualification wording
Currently pursuing a bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field or Associate degree holders with relevant skills and experience.
Experience with data analysis and machine learning model development.
Experience with SQL and database management systems.
Education & alternatives
Requirements - Currently pursuing a bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field or Associate degree holders with relevant skills and experience. - Strong programming skills in Python, with experience in data analysis, data science, or a related field.
About Apexanalytix-Careers
At apexanalytix, we’re lifelong innovators!
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 16, 202658 days ago
- Recorded sightings
- 59
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 58
Similar jobs usually come down between day 8 and day 76.
From 5,460 similar postings that came down. Coming down is not always a hire.
Apexanalytix-Careers is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Docker
- Kubernetes
- Streamlit
Where the posting names them
- Currently pursuing a bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field or Associate degree holders with relevant skills and experience. - Strong programming skills in Python, with experience in data analysis, data science, or a related field. - Experience with data analysis and machine learning model development.
- Experience with data analysis and machine learning model development. - Experience with SQL and database management systems. - Knowledge of Large Language Models (LLMs) and their applications in AI product development.
- Knowledge of Large Language Models (LLMs) and their applications in AI product development. - Familiarity with containerization using Docker and Kubernetes. - Excellent problem-solving skills, with the ability to work independently and collaboratively.
Job Summary The Data Science Intern is responsible for developing and deploying data analytics and AI applications, and developing machine learning models, deploying into Kubernetes clusters. This role involves working with large datasets, implementing monitoring systems, and post deployment analysis processes. The intern will be part of a dynamic team, driving our data-driven culture forward with innovative solutions. Key Responsibilities
- Build and deploy machine learning models. - Design, develop, and deploy containerized applications to our Kubernetes cluster. - Ensure scalability, reliability, and performance of deployed applications.
- Troubleshoot and resolve issues related to AI applications and Machine Learning Models and the Relevant Tools/Platforms. - Build UI applications using Streamlit or a similar framework to create product prototypes and gather user feedback. - Stay up to date with industry trends, best practices, and emerging technologies in AI, data science, and cloud computing.
Your next step
Complete your application on ats.rippling.com. The employer’s form will show what is required.
Applying through Rippling
- “The résumé will be parsed to fill in the application details”: check what it filled before you send.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
About Us:
At apexanalytix, we’re lifelong innovators! Since the date of our founding nearly four decades ago we’ve been consistently growing, profitable, and delivering the best procure-to-pay solutions to the world. We’re the perfect balance of established company and start-up. You will find a unique home here.
And you’ll recognize the names of our clients. Most of them are on The Global 2000. They trust us to give them the latest in controls, audit and analytics software every day. Industry analysts consistently rank us as a top supplier management solution, and you’ll be helping build that reputation.
Read more about apexanalytix - https://www.apexanalytix.com/about/
Position Title: Internship – Data Science
Reports to: Manager- Data Science
Work Location: Greensboro, N.C.
Job Summary
The Data Science Intern is responsible for developing and deploying data analytics and AI applications, and developing machine learning models, deploying into Kubernetes clusters. This role involves working with large datasets, implementing monitoring systems, and post deployment analysis processes. The intern will be part of a dynamic team, driving our data-driven culture forward with innovative solutions.
Key Responsibilities
- Process and analyze complex data from diverse sources to extract business insights.
- Build and deploy machine learning models.
- Design, develop, and deploy containerized applications to our Kubernetes cluster.
- Ensure scalability, reliability, and performance of deployed applications.
- Work with Large Language Models (LLMs) to develop and integrate AI-powered features into our products.
- Troubleshoot and resolve issues related to AI applications and Machine Learning Models and the Relevant Tools/Platforms.
- Build UI applications using Streamlit or a similar framework to create product prototypes and gather user feedback.
- Stay up to date with industry trends, best practices, and emerging technologies in AI, data science, and cloud computing.
Requirements
- Currently pursuing a bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field or Associate degree holders with relevant skills and experience.
- Strong programming skills in Python, with experience in data analysis, data science, or a related field.
- Experience with data analysis and machine learning model development.
- Experience with SQL and database management systems.
- Knowledge of Large Language Models (LLMs) and their applications in AI product development.
- Familiarity with containerization using Docker and Kubernetes.
- Excellent problem-solving skills, with the ability to work independently and collaboratively.
- Strong communication and documentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Over the years, we’ve discovered that the most effective and successful associates at apexanalytix are people who have a specific combination of values, skills, and behaviors that we call “The apex Way”. Read more about The apex Way - https://www.apexanalytix.com/careers/
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Greensboro, NC
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.