AI / BI Intern – Factory Services (EMEA)

AI / BI Intern – Factory Services (EMEA)

Description -

Role Overview

We are looking for a motivated and innovative AI / BI Intern to support the Factory Services Operations team in EMEA.

This role focuses on leveraging AI, data analytics, and business intelligence tools to improve operational efficiency, automate processes, and enhance decision-making across project delivery and reporting.

You will work closely with cross-functional teams to identify improvement opportunities, build data-driven solutions, and contribute to the digital transformation of Factory Services.

Key Responsibilities

AI & Automation

• Identify opportunities to improve operational efficiency using AI solutions

• Contribute to the design, testing, and enhancement of AI tools and chatbots

• Support automation of repetitive processes (e.g., data handling, reporting, internal workflows)

• Analyze effectiveness of AI solutions and propose improvements

Business Intelligence & Reporting

• Support development and maintenance of BI dashboards and reporting tools

• Assist in data extraction, transformation, and visualization

• Ensure data quality, consistency, and usability across reporting systems

• Provide insights to support operational and management decisions

Process Improvement

• Work with stakeholders to map and optimize business processes

• Identify inefficiencies and propose scalable improvements

• Support implementation of new tools, workflows, or best practices

Collaboration & Support

• Collaborate with: Factory Services Project Managers, Operations teams, IT / data stakeholders

• Provide support in ad-hoc analysis, reporting requests, and internal projects

Education & Experience

• Currently enrolled in a Master’s degree program in: Data Science, AI, Computer Science, Engineering, Business Analytics, or related field

• Available for a long-term internship / apprenticeship (12–24 months)

Skills & Competencies

Technical

• Basic knowledge of: Data analysis (Excel, SQL, Python or similar), BI tools (Power BI, Tableau, or equivalent)

• Interest in AI technologies, automation, and digital tools

• Understanding of data structures and reporting concepts

Analytical & Problem-Solving

• Strong analytical mindset with ability to work with complex datasets

• Ability to translate business needs into data-driven solutions

Soft Skills

• Strong communication skills in English

• Ability to work in a cross-functional, international environment

• Proactive, curious, and eager to learn

What You Will Gain

• Hands-on experience with AI applications in operations

• Exposure to HP products customization, project management, and WW operations

• Opportunity to contribute to real business impact through automation and data

• Collaboration with experienced professionals in a global organization

Optional (Nice-to-Have)

Experience with:

• Python scripting or automation tools

• Power Automate / low-code tools

• Data visualization or dashboarding

Interest in process optimization and digital transformation

Job -

Engineering

Schedule -

Part time

Shift -

No shift premium (Czechia)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"