Intel

Internship - Data Science

Intel

Phoenix, AZ, USA
Full-TimeDepends on ExperienceMid-LevelBachelors
Job Description

Are you passionate about data science and the power of data to drive insights? We’re looking for an enthusiastic data science intern to join our team at Intel.As a data science intern, you’ll have the opportunity to work with experienced data scientists and engineers to explore data-driven solutions to complex problems. You’ll be able to apply your knowledge and skills to the development of new data architectures, algorithms, and analytics. The ideal candidate for this role should have a strong interest in data science and a commitment to developing their skills in this field.Required qualifications:• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field• Working knowledge of Python, R, SQL, and/or other programming languages• Experience with machine learning algorithms and techniques• Ability to analyze complex data sets, draw meaningful conclusions, and present information in a clear and concise manner• Aptitude for creative problem solving and analytical thinking• Excellent communication, organizational, and time management skillsIf this sounds like the perfect opportunity for you, we’d love to hear from you. Please apply today and join our team in the development of data science at Intel.

Responsibilities:

  1. Develop new data architectures, algorithms, and analytics to explore data-driven solutions to complex problems.
  2. Analyze complex data sets, draw meaningful conclusions, and present information in a clear and concise manner.
  3. Utilize Python, R, SQL, and/or other programming languages to analyze data.
  4. Apply machine learning algorithms and techniques to uncover insights from data.
  5. Demonstrate creative problem solving and analytical thinking skills.
  6. Maintain excellent communication, organizational, and time management skills.
Where is this job?
This job is located at Phoenix, AZ, USA
Job Qualifications
  • Bachelor's Degree In Computer Science

  • Or Related Field

  • Statistics

  • Excellent Communication And Presentation Skills

  • Mathematics

  • R

  • And Sql

  • Proficiency In Python

  • Knowledge Of Machine Learning/Data Mining Algorithms

  • Knowledge Of Artificial Intelligence And Its Application To Data Science Problems

  • Ability To Think Analytically And Solve Complex Problems

  • Ability To Collaborate Effectively With Teams

Required Skills
  • Sql

  • Python

  • Business Intelligence

  • Data Analysis

  • Database Management

  • Algorithms

  • Big Data

  • R

  • Machine Learning

  • Data Visualization

  • Cloud Computing

  • Artificial Intelligence

  • Data Mining

  • Statistical modeling

  • Exploratory Analysis

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Internship - Data Science in Phoenix, AZ, USA is $15 to $20 per hour. This range can vary depending on the company, the industry, and the experience of the individual.

Additional Information
Intel is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedAugust 11th, 2023
Apply BeforeMay 22nd, 2025
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About Intel

Intel Corp. engages in the design, manufacture, and sale of computer products and technologies. It delivers computer, networking, and communications platforms. It operates its business through the following segments: Client Computing Group, Data Center Group, Internet of Things Group, Non-Volatile Memory Solutions Group, Intel Security Group, and Programmable Solutions.

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