Global Marketing Graduate AI & Data Intern

Iawmqy Open · verified Sep 18, 2026

Round Rock Full-time Junior General Marketing

Entry-level General Marketing role at Iawmqy. Round Rock · full-time.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

You'll use data and software engineering to build and deploy machine-learning models at scale
You'll create marketing and sales predictions and recommendations for stakeholder use
You'll improve customer experience and business outcomes through AI and machine learning
You'll work in Data Science, Data Engineering, ML Engineering, or MLOps based on your skills and team needs

What you bring

You're pursuing an M.S. in a quantitative or computational field such as Computer Science, Statistics, or Engineering
You'll graduate in December 2027 or Spring 2028
For Data Science, you bring Python, SQL, data analysis, statistical modeling, probability, and statistics knowledge
For Data Engineering, you bring SQL, Python, relational databases, JSON, and basic data modeling
For ML Engineering or MLOps, you bring programming, APIs, containers, Linux, or distributed-processing basics

Who this fits

This role suits a master's student interested in applying data, software engineering, and machine learning to marketing. You'll work full time in Round Rock, Texas, with your track determined by your skills and business needs. University projects, research, Kaggle competitions, online courses, and related internships can strengthen your fit.

From the employer

Global Marketing Graduate AI & Data Intern

Data Science, Data Engineering, ML Engineering, and Machine Learning Operations (MLOps) are all necessary practices that work together to enable companies to answer their most urgent business questions. Pioneering massively parallel data-intensive analytic processing and now agentic AI, our team’s mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with top academics, industry experts, and highly skilled engineers to equip our internal teams to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as a Master’s Intern on our Marketing team in Round Rock, Texas.

Based on your skillsets and business needs, the role will be in either Data Science, Data Engineering, Machine Learning (ML) Engineering, or Machine Learning Operations (MLOps) within the Marketing team.

What you’ll achieve:

As an intern, you will be part of our Marketing organization, spearheading Dell Technologies’ Digital Transformation by driving innovation in the way we deliver advanced Artificial Intelligence and Machine Learning technology that can help us better optimize our customer experience and business outcomes.

This internship will merge data science, data engineering, and cutting-edge software engineering practices to build and deploy machine learning models at scale.

Projects will contribute to delivering predictions and recommendations for marketing and sales stakeholders at scale.

Take the first step towards your dream career. Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements:

For Data Science roles: Experience in Python and SQL, specifically for data wrangling, exploratory data analysis, and statistical modelling. Solid problem-solving skills and essential knowledge of probability and statistics. Foundational knowledge of statistical modelling techniques and methods (Decision Tree/Regression based methods etc.).
For Data Engineering roles: Experience with SQL, Python, relational databases, and JSON. Basic knowledge in data modelling. Exposure to distributed-processing methods. Exposure to Apache Spark is a plus.
For ML Engineering roles: Experience in Python, Java and/or C++. Basic knowledge of APIs, distributed processing methods, and introductory machine-learning concepts.
For MLOps roles: Experience with general-purpose programming languages (such as Python, C or Java), container engines (Docker or Podman), and Linux distributions (Ubuntu, CentOS, etc.). Exposure to any DevOps/MLOps tools, such as Jenkins, Azure DevOps, or MLflow, is a plus.
University projects/research, Kaggle competitions, Online courses/MOOCs, related internships is a plus.

Desirable Requirements:

Working towards an M.S. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Economics, or related quantitative or computational fields
Graduation Date: December 2027 or Spring 2028

Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Compensation
Dell is committed to fair and equitable compensation practices. The pay range for this position is $31.88-$50.00

Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that
awaits you as a Dell Technologies team member — right now at MyWellatDell.com

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.