Finance Intern
HP
Spring, TX0–2 yrs4h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- Business analysisData visualizationFinancial analysisMachine learningLLMsStatistics
- Work
- On-site in Spring · internship
- Pay
- Not stated by the employer.
- Skill demand
- Financial analysis65%Business analysis21%Data visualization15%of 121 similar entry-level jobs posted in the US this week
- Listed
- Oct 28, 2026 · still open
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About the Role
This is a 12-week paid summer internship designed for students to apply classroom learnings to real-world challenges at HP, Inc. The Finance Data Science Intern will support finance transformation and process improvement initiatives. This opportunity is intended for conversion to a full-time role, pending performance evaluation and available headcount. Future full-time roles will not offer work authorization sponsorship.
Key Responsibilities
- Support finance transformation and process improvement initiatives by leveraging data science, AI, and automation techniques.
- Enhance reporting, analytics, and decision-making capabilities.
- Analyze financial and operational data to develop data-driven insights.
- Build automated solutions and dashboards.
- Explore AI-enabled opportunities to improve efficiency and business intelligence within the Finance organization.
- Work closely with finance and GBU teams to solve real-world business challenges using financial analysis, programming, and data science methodologies.
AI & Advanced Analytics
- 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.
Automation & Process Improvement
- 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.
Dashboard & Visualization Development
- 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.
Cross-Functional Collaboration
- 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.
Requirements & Tech Stack
Common Tools & Technologies
- 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)
- Power Query
- Data Visualization
Internship Deliverables
- Deliver an analytics, automation, or AI-focused project with measurable business value.
- Develop at least one automated solution that improves a finance process.
- Create dashboards or visualizations that support data-driven decision making.
- Present findings and recommendations to Finance leadership.
Qualifications
- Currently eligible to work in the US.
- Must not require work authorization sponsorship in the future.
- 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 (excluding 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.