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Data Science and Analytics - PhD Intern

Pay
USD 136,998–137,002/year — pay source
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $136,998.00-137,002.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
For current studentsPursuing a PhD degree in a relevant field, such as data science, computer science, statistics, Electrical Engineering, Physics, Material Science, Computer Science or scientific field of study directly related to Semiconductor with 0-1 years of hands-on experience in data analytics or programming, demonstrated through internships, academic projects, coursework, or hands-on training

What you’ll work on

Full posting
  • Analyze large datasets to find patterns, trends and actionable insights

  • Build predictive models, dashboards and visualizations

  • Collaborate with data scientists, analysts and engineers on data projects

  • Apply statistical techniques and programming to support decisions

From the employer’s posting
Collect, analyze, and interpret large datasets to uncover patterns, trends, and actionable insights.
Assist in building predictive models, dashboards, and visualizations that support business objectives
Collaborate with data scientists, analysts, and engineers to contribute to data-driven projects and solutions.
Apply statistical techniques and programming skills to support storytelling and decision-making processes.

What you’ll bring

All qualifications

Core experience

  • Familiarity with statistical methods and techniques used for data analysis.

Preferred experience

  • Expertise in database structures, research methods, analytics packages (i.e., JMP, MATLAB, Octave), scripting languages (i.e., JSL, Perl, TCL), or programming languages (i.e., Python, SQL, C/C++).
  • Expertise in agentic AI and orchestrated LLM workflows, machine learning, deep learning, Retrieval-Augmented Generation (RAG), knowledge engineering, and dataflow pipeline architectures.
  • Strong communication and collaboration skills to work effectively in a team environment.
Qualification wording
Familiarity with statistical methods and techniques used for data analysis.
Expertise in database structures, research methods, analytics packages (i.e., JMP, MATLAB, Octave), scripting languages (i.e., JSL, Perl, TCL), or programming languages (i.e., Python, SQL, C/C++).
Expertise in agentic AI and orchestrated LLM workflows, machine learning, deep learning, Retrieval-Augmented Generation (RAG), knowledge engineering, and dataflow pipeline architectures.
Strong communication and collaboration skills to work effectively in a team environment.
Education & alternatives
Minimum Qualifications - Pursuing a PhD degree in a relevant field, such as data science, computer science, statistics, Electrical Engineering, Physics, Material Science, Computer Science or scientific field of study directly related to Semiconductor with 0-1 years of hands-on experience in data analytics or programming, demonstrated through internships, academic projects, coursework, or hands-on training. - Minimum of 6 months of experience in one or more of the following: - Semiconductor materials, fabrication, and device physics

Benefits in the posting

Full benefits wording
  • We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
  • This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
  • ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

From the employer’s posting.

Apply at Intel

Posting record

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Status in our records
Live
First seen by us
Oct 7, 202627 days ago
Recorded sightings
84
Last seen by us
Nov 4, 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

Pay

In line with similar jobs

$137K–$137K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 27

Similar jobs usually come down between day 7 and day 55.

From 9,963 similar postings that came down. Coming down is not always a hire.

Intel is hiring

11 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

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Where the posting names them
- Statistical Process Control (SPC) or Design of Experiments (DOE) principles and engineering analysis tools experience. - Expertise in database structures, research methods, analytics packages (i.e., JMP, MATLAB, Octave), scripting languages (i.e., JSL, Perl, TCL), or programming languages (i.e., Python, SQL, C/C++). - Expertise in agentic AI and orchestrated LLM workflows, machine learning, deep learning, Retrieval-Augmented Generation (RAG), knowledge engineering, and dataflow pipeline architectures.

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Job description

View original posting ↗

Job Details:

Job Description: 

The Role and Impact


Join Intel as a Data Science and Analytics Graduate Intern, where you'll dive into analyzing large datasets to uncover meaningful insights that drive business decisions and enhance user experiences across Intel's platforms. In this role, you will contribute to building data models, dashboards, and visualizations while collaborating with cross-functional teams to deliver impactful, data-driven solutions. Through hands-on projects, you'll gain valuable knowledge and practical skills that will prepare you for future career opportunities in data science and analytics.

Business group


Intel Foundry is at the forefront of innovation, delivering cutting-edge solutions that enable Intel's success in the competitive semiconductor industry. Within Intel Foundry, the LTD Device PDK and Product team works to optimize products and processes by leveraging advanced technology, analytics, and data-driven approaches. This organization plays a key role in supporting Intel's broader mission to shape the future of computing and engineering through collaboration, innovation, and teamwork.

Key Responsibilities


  • Collect, analyze, and interpret large datasets to uncover patterns, trends, and actionable insights.
  • Assist in building predictive models, dashboards, and visualizations that support business objectives and improve user experience.
  • Collaborate with data scientists, analysts, and engineers to contribute to data-driven projects and solutions.
  • Apply statistical techniques and programming skills to support storytelling and decision-making processes.
  • Participate in hands-on learning opportunities, gaining real-world experience relevant to Intel's business goals.

Qualifications:

Minimum Qualifications


  • Pursuing a PhD degree in a relevant field, such as data science, computer science, statistics, Electrical Engineering, Physics, Material Science, Computer Science or scientific field of study directly related to Semiconductor with 0-1 years of hands-on experience in data analytics or programming, demonstrated through internships, academic projects, coursework, or hands-on training.
  • Minimum of 6 months of experience in one or more of the following:
    • Semiconductor materials, fabrication, and device physics
    • Electrical characterization of Semiconductor Devices (transistor, diode, etc.) 
    • Familiarity with statistical methods and techniques used for data analysis.


Preferred Qualifications


  • Advanced Transistor Device Structures and Device Physics.
  • Process monitoring Test structures design and layout experience.
  • Device and circuit simulation.
  • Statistical Process Control (SPC) or Design of Experiments (DOE) principles and engineering analysis tools experience.
  • Expertise in database structures, research methods, analytics packages (i.e., JMP, MATLAB, Octave), scripting languages (i.e., JSL, Perl, TCL), or programming languages (i.e., Python, SQL, C/C++).
  • Expertise in agentic AI and orchestrated LLM workflows, machine learning, deep learning, Retrieval-Augmented Generation (RAG), knowledge engineering, and dataflow pipeline architectures.
  • Strong communication and collaboration skills to work effectively in a team environment.


Take this exciting opportunity to kick-start your career in data science and analytics while contributing to Intel's cutting-edge work in technology and innovation. Apply today and take the first step toward shaping the future of data-driven solutions.

          

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Oregon, Hillsboro

Additional Locations:

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.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

 

 

Annual Salary Range for jobs which could be performed in the US: $136,998.00-137,002.00 USD

 

 

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.

 

 

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.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Source details

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Pay
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $136,998.00-137,002.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
Location & working pattern

US, Oregon, Hillsboro

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. *
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