Finance Intern

Finance Intern Description

This opportunity is intended for conversion to a full-time role that will not offer work authorization sponsorship in the future (full-time conversion pending performance evaluation post internship and available headcount). Interested candidates must be currently eligible to work in the US AND must not require work authorization sponsorship in the future. HP, Inc. will not provide any assistance or sign documentation in support of immigration sponsorship including Curricular Practical Training (CPT) or Optional Practical Training (OPT).

Innovation is in HP's DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world's leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries.

We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.

Our future success depends on the innovation and fresh ideas students bring to HP, Inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP, inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way.

Join us for a 12-week paid summer internship designed to let you apply your classroom learnings to real world challenges. Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun!

The Finance Data Science Intern will support finance transformation and process improvement initiatives by leveraging data science, AI, and automation techniques to enhance reporting, analytics, and decision-making capabilities. The intern will analyze financial and operational data, develop data-driven insights, build automated solutions and dashboards, and explore AI-enabled opportunities to improve efficiency and business intelligence across the Finance organization. They will work closely with finance and GBU teams to solve real-world business challenges through a combination of financial analysis, programming, and data science methodologies.

• Explore AI and machine learning techniques to improve financial analysis and operational processes.
• Evaluate opportunities to leverage generative AI for reporting, automation, and knowledge management.
• Conduct exploratory data analysis and statistical modeling.

• Identify manual processes that can be streamlined through automation.
• Develop Python-based scripts and automated workflows.
• Improve reporting efficiency and data accessibility.
• Document and recommend process improvements.

• Create and enhance Power BI dashboards and executive reporting tools.
• Develop KPI scorecards and business performance visualizations.
• Present analytical findings through clear, data-driven storytelling.

• Partner with Finance, IT, and Data Scientists to gather requirements and deliver solutions.
• Participate in project reviews, team meetings, and stakeholder presentations.
• Communicate project progress and key findings to leadership.

3rd Year of bachelor's degree completed in Finance or computer science. Must be enrolled full time at an accredited university. Has no more than 24 months of prior work experience professionally related to the intern requisition they are applying to (not including internships, teaching assistance, research work, or military experience) Able to obtain work authorization in the United States in 2027, and not require sponsorship in the future

• Microsoft Excel (advanced analytics, financial modeling, reporting)
• Python (data analysis, automation, machine learning)
• SQL (data extraction and transformation)
• Power BI (dashboard development and visualization)
• AI Tools (Copilot, Generative AI, predictive analytics tools)

Expected Internship Deliverables By the end of the internship,…