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Open nowPosted today

IT Undergrad Technical Intern - AI and Data Analytics

Intel591 open roles

Where
Malaysia, Penang
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Your applicationOpen nowIT Undergrad Technical Intern - AI and Data AnalyticsIntel · Malaysia, Penang

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The clock on this job

Early applications get read.

7.4% of postings close within 7 days. Measured by our own scanner across the market. Intel postings stay open a median of 23 days.

Share of postings closed within
  1. 1.5%1 day
  2. 3.5%3 days
  3. 7.4%7 days
  4. 13.2%14 days
  5. 34.6%30 days
This job: posted today

Intel median: 23 days open

The posting

Job Details:

Job Description:

Join Intel Global IT AI and Data organization and be part of a team that is transforming how a global enterprise leverages data and artificial intelligence to drive better business decisions. As a Data Science and Analytics Undergraduate Technical Intern, you will gain hands on experience working within an Agile team on real world Finance data, analytics, reporting, and AI solutions. You will learn data analysis and validation, data flow mapping, data model design, and the development and testing of enterprise scale solutions on modern cloud analytics platforms. This is an opportunity to build both technical and business acumen, work alongside experienced professionals, and contribute to innovative solutions that deliver actionable insights, support compliance and governance, and help shape the future of data driven decision making at Intel.

Qualifications:

The ideal candidate needs to be: • Undergrad pursuing Bachelor's Degree in Data Science, Information Technology, Computer Science or any related fields. • Able to undergo internship for at least 6 months. • Have strong career aspiration as a data profession, and interested to venture into cloud data analytics, enterprise reporting, data science and AI/ML Ops domains. • Essential technical skills required mastery of SQL Programming, Advanced Excel, Data Manipulation and Analysis, Data Visualization, Microsoft Office tools proficiency, etc. • Having fundamental understanding of Azure Data Fundamentals, Databricks, Snowflakes data warehouse is highly beneficial. • Basic exposure to SAP HANA and ERP fundamentals (ECC, S/4), BW, SAC is a bonus. • Fundamental understand of Machine Learning, Deep Learning and technical acumen of R or Python statistical programming language for predictive and prescriptive analytics is good to have. • Knowledge of Finance and Supply Chain biz data acumen is an added advantage. • You will need to have strong written and verbal skills providing the ability to communicate complex and ambiguous issues to various audiences. • Applicants should be a self-starter who takes ownership and responsibility for projects and initiatives combined with the ability to work independently and collaboratively in team settings.

Job Type:

Student / Intern

Shift:

Shift 1 (Malaysia)

Primary Location:

Malaysia, Penang

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

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * 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.

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