Data Science Intern at Intel Phoenix, AZ

Intel; Phoenix (AZ); On-site; USD 63,000 - 166,000; Full time

Benefits offered by this job

Competitive pay

Health benefits

Retirement programs

Job summary

Intel is looking for a Data Science Intern in Phoenix, AZ to join the DEAP team. You will develop analytics solutions and contribute to tools for product planners, utilizing your strong skills in Python or R.

This position demands a Master's degree or PhD pursuit in a related field, along with good communication and analytical skills. Intel offers competitive pay and benefits, making it an exciting opportunity for aspiring data scientists.

Qualifications

• Pursuing a Master's degree or PhD in Mathematics, Statistics, Industrial Engineering, Computer Science, or related field with 3+ months experience.
• Familiar with advanced Data Science frameworks in Machine Learning and Deep Learning.
• Strong professional communication skills, both written and verbal.

Responsibilities

• Develop Proof of Concept (POC) solutions and prototypes for future projects.
• Analyze data sets and construct data models.
• Write production code, including unit tests and validation automation tests.

Skills

Python

R

Data Analysis

Machine Learning

Problem-Solving

Education

Master's degree or PhD in relevant field

Tools

scikit-learn

Tensorflow

SQL

Power BI

Job description

Job Details

Data Science Intern job at Intel. Phoenix, AZ.

Job Description

Do Something Wonderful! Intel put the Silicon in Silicon Valley. No one else is this obsessed with engineering a brighter future. Every day, we create world changing technology that enriches the lives of every person on earth. So, if you have a big idea, let's do something wonderful together. Join us, because at Intel, we are building a better tomorrow.

Want to learn more? Visit our YouTube Channel ( or the links below! + Life at Intel ( + Intel Global Diversity and Inclusion

Who We Are

The Decision Engineering Analytics Platform (DEAP) team within the Data Center Group is looking for an intern to learn and contribute to analytics solutions. The DEAP Team produces self-service analytics tools for product planners; at various stages of the product's life cycle, there are different levers that we can optimize to reduce costs and increase margins. These include architecture definition, sort and routing optimization, and inventory planning. We have 100+ monthly active users and a robust user community and are looking for support to implement new features and cutting‑edge analytics solutions. With a career at Intel, you can help to shape the future of technology. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technological advancements and experiences in the world.

Who You Are

Key Responsibilities but not limited to:

• Working within the team and developing Proof of Concept (POC) solutions and prototypes for future projects (including building Machine Learning models, designing wireframes, creating visualizations, and modeling stochasticity).
• Analyzing data sets and constructing data models.
• Writing production code, including unit tests and validation automation tests.
• Identify and resolve manufacturing issues that could impact product delivery.

Behavior skills we are looking for:

• Strong professional communication skills, both written and verbal
• Self‑motivated and capable of working independently, with a proactive approach to solving complex engineering challenges
• Commitment to delivering high‑quality, accurate results that meet the needs of engineering stakeholders
• Effective collaboration in a multi‑site, cross‑functional team environment
• Excellent problem‑solving abilities and a demonstrated ability to navigate ambiguity with confidence.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed may be obtained through a combination of job experience, internship experiences, and schoolwork/classes/research.

Minimum Qualifications

Pursuing a Master's degree or PhD in Mathematics, Statistics, Industrial Engineering, Computer Science, or related field of study with 3+ months experience with Python or R.

Preferred Qualifications

• Knowledge of advanced Data Science frameworks in Machine Learning (scikit‑learn, XGBoost), Deep Learning (Tensorflow, Pytorch, Spark) or Numerical Optimization (Decomposition methods, Dynamic Programing, Stochastic Optimization)
• Experience with Linear & Mixed‑Integer Programming models and software (CPLEX, GUROBI, etc.)
• Experience with analytics methods including Large Language Models, SQL, Plotly-dash or Power BI, Git/Github, Argo Workflows, and/or Kubernetes
• Skilled at interfacing with engineers and managers by providing project and schedule updates
• Skills to prioritize tasks independently

Job Type

Student / Intern

Shift

Shift 1 (United States of America)

Primary Location

US, Arizona, Phoenix

Business Group

Position of Trust

N/A

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our amazing Benefits here: Annual Salary Range for jobs which could be performed in the US: $63,000.00-$166,000.00 Salary range dependent on a number of factors including location and experience.

Work Model for this Role

This role will require an on‑site presence. Job posting details (such as work model, location or time type) are subject to change.