Toner Supplies Marketing - Intern For Data Science

Have an interest in applying your classroom knowledge of artificial intelligence and data science to generate real-world customer insights for HP’s LaserJet printer toner business?

Join us for 28 week paid internship. At HP, we exist to amaze through the people we hire, the experiences we enable, the way we treat our customers and each other and ultimately through the technology we create. We aim for excellence through collaboration and believe that by melding the best and the brightest talent, enriched by diverse backgrounds and perspectives of every stripe, we can succeed in understanding what matters the most to our customers and to every individual across society.

Education and Experience Required:

• Pursuing a Master’s in Data Science
• Strong analytical and communication skills
• Ability to work efficiently in cross functional team
• Strong interest in artificial intelligence data mining techniques

Primary responsibilities:

As an Intern you will support the printer supplies insights team on key break-through projects to improve business results, customer insights, and the business processes used to manage the worldwide business.

Develop customer insights by using techniques for mining Big Data.

Develop new Integrated Business Intelligence techniques to marry disparate data with insightful views.

Support artificial intelligence and data mining projects initiated by other members of the team.

Capabilities, Experience Areas, and Skills

Experience with Python, SWL, and/or other artificial intelligence / machine learning languages

Analytics and Insight:

• Capability to communicate the deeper understanding to provide new and actionable insights in support of decision making to create productive action.
• Capacity to source, organize and interpret complex data sets to gain deeper understanding and guide strategy formulation.
• Application of Strategic/Critical thinking and Problem Solving to move the business forward.

Customer Mindset: Creating positive user experiences through deep customer knowledge and focus on customer needs.