Assembly Engineering Intern

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About This Role

  • The Role and Impact Are you passionate about data, analytics, and solving complex problems? As a Data Science and Analytics Undergraduate Intern at Intel, you will play a vital role in contributing to projects that shape the future of technology.
  • This is an exciting opportunity to gain hands-on experience in collecting, analyzing, and interpreting large datasets, uncovering patterns and insights, and supporting data-driven decision-making.
  • You will collaborate with a team of data scientists, analysts, and engineers to deliver impactful solutions that drive Intel's innovation and business objectives.
  • Your contributions will directly support Intel's mission of delivering world-changing technologies and improving user experiences across our platforms.
  • Key Responsibilities - Assist in collecting, analyzing, and interpreting large datasets using statistical tools and programming techniques. - Support the development of data models, dashboards, and visualizations that enhance decision-making and user experience. - Collaborate with cross-functional teams to contribute to data-driven projects and storytelling. - Apply data modeling techniques and methodologies to solve real-world business problems. - Learn and implement best practices in using data analytics and mining tools to uncover trends and insights. - Document technical workflows and findings to ensure clear communication across stakeholders. - Participate in continuous learning and improvement opportunities while exploring career paths at Intel.

Requirements

  • Currently pursuing a Bachelor's degree in Mechanical/Electrical/Chemical/Mechatronics Engineering, Data Science, Computer Science, Statistics, Mathematics, or a related field. - Foundational knowledge of statistical analysis, data modeling techniques, and methodologies. - Proficiency in at least one programming language, such as Python, R, or SQL. - Experience with data analytics and mining tools. - Strong problem-solving skills and attention to detail.
  • Preferred Qualifications - Familiarity with creating visualizations using tools like Python, C++.
  • Tableau, Power BI, or similar platforms. - Experience in technical documentation and presenting analytical findings. - Eager to learn and explore opportunities for professional growth in a collaborative environment. - Strong communication and teamwork skills to contribute effectively within cross-functional teams.
  • Join our team and be part of a collaborative community where your ideas and skills can make a difference.
  • Apply now and take the first step toward building a rewarding career in data science and analytics at Intel.

Sourced directly from Intel’s career page

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Intel

Malaysia, Kulim

Specialisation
Open roles at Intel
790 positions
Job ID
/job/Malaysia-Kulim/Assembly-Engineering-Intern_JR0284019

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