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AI Product Analyst student for AI Solutions Group

Intel

AI Product Analyst student for AI Solutions Group

part-timePosted: Aug 25, 2026Updated: Sep 1, 2026Haifa, Israel

Job Description

Job Details:Job Description: Who We Are? Intel's AI Solutions Group is at the forefront of innovation, delivering state-of-the-art AI capabilities that power Intel's global chip development. Our team of over 250 AI Engineers-primarily based in Israel-is driving one of the most impactful transformations inside Intel. Over the past few years, we've launched over 1,000 AI solutions, used millions of times each day. In recognition of our impact, the team was honored with Intel's Top Performing Organization Award globally in 2024. We're innovating with advanced techniques in AI and Generative AI, redefining how silicon development is done. We are deeply committed to the growth and development of our people. If you're a brilliant, curious, and kind-hearted individual looking to work on meaningful AI challenges-this is the place to thrive. Our product analysts are essentially rock-stars: they engage with our customers to identify high business value problems that can be solved using AI, they define a creative and high-end solution that our data scientist and big data developers can create (in an Agile methodology), they conduct a deep data analysis using state of the art technologies, and collaborate with the Data Scientists to identify, create and evaluate the best algorithms to solve the problem, they work diligently with our customers to implement and drive the highest business value possible from our solutions. It is no wonder though that we hire only the best for this position. If you're a team player in heart and soul, a person that wants to envision great AI products, collaborate with great minds like yours, be involved in every aspect of the product lifecycle, engage with customers from across the globe, and do extensive hands-on data driven analysis. If you want to change the world, starting by transforming Intel: we have a job for you.Qualifications:What we are looking for?• BSc/ MSc degree in Information System/ Industrial Engineering/ Data Science or similar• Academic and/ or work experience with ML/ Big data/ AI - advantage• Excellent analytical and learning skills• Excellent communication skills (in English-written and verbal)• Team player in heart and soul• Ability to deal with ambiguity and thrive in a rapidly changing business environment• Tech orientation and fearlessnessAvailability: at least 2 years of studies remaining. 2.5 days per week availability during semesters Job Type:Student / InternShift:Shift 1 (Israel)Primary Location: Israel, HaifaAdditional 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 TrustN/AWork Model for this RoleThis 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.*

Locations

  • Haifa, Israel

Skills Required

  • ML/ Big data/ AI - advantage• Excellent analyticalintermediate

Required Qualifications

  • What we are looking for?• BSc/ MSc degree in Information System/ Industrial Engineering/ Data Science or similar• Academic and/ or work experience with ML/ Big data/ AI - advantage• Excellent analytical and learning skills• Excellent communication skills (in English-written and verbal)• Team player in heart and soul• Ability to deal with ambiguity and thrive in a rapidly changing business environment• Tech orientation and fearlessnessAvailability: at least 2 years of studies remaining. 2.5 days per week availability during semesters (experience, 2 years)

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