Data Science Intern (Summer 2027)

Apexanalytix; Greensboro (NC); On-site; USD 28,000 - 41,000; Part time

Job summary

apexanalytix seeks a Data Science Intern to develop and deploy data analytics and AI applications, build machine learning models, and deploy into Kubernetes clusters, handling large datasets and monitoring.

You will join a dynamic team, gain hands-on experience with Docker, Kubernetes, and Streamlit, and help prototype AI-powered features while staying current with industry trends. This internship offers practical, hands-on exposure to real-world cloud computing and analytics challenges.

Qualifications

• Pursuing a bachelor's degree or higher in CS/DS/Math/Engineering or related field.
• Strong Python programming for data analysis or data science.
• Experience with data analysis and ML model development.
• Experience with SQL and database management systems.
• Knowledge of Large Language Models (LLMs) and their AI applications.
• Familiarity with Docker and Kubernetes for containerized apps.

Responsibilities

• Process and analyze complex data from diverse sources to extract insights.
• Build and deploy machine learning models.
• Design, develop, and deploy containerized apps to Kubernetes.
• Ensure scalability, reliability, and performance of deployed apps.
• Work with LLMs to develop AI-powered features.
• Troubleshoot AI applications and ML models and the relevant tools/platforms.
• Build UI apps using Streamlit or a similar framework to prototype and gather user feedback.
• Stay up to date with industry trends, best practices, and emerging technologies in AI, data science, and cloud computing.

Skills

Python

Data analysis

Machine learning

SQL

LLMs

Communication

Education

Bachelor's degree or higher in CS/DS/Math/Engineering or related field

Tools

Docker

Kubernetes

Streamlit

Job description

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.

Position Title: Internship – Data Science

Reports to: Manager- Data Science

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/