Finance Intern

HP

Georgia

On-site

USD 32,000 - 36,000

Full time

7 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Disability insurance
Employee assistance program
Flexible spending account
Life insurance
Parental leave & holidays

Job summary

HP, Inc. invites applications for a 12-week paid Finance Data Science Intern program designed to apply classroom learning to real-world challenges.

This internship targets candidates pursuing a bachelor’s in Finance or CS and aiming to convert to a full-time role, with strict no sponsorship now or in the future. The role focuses on analytics, automation, dashboards in Power BI, Python, and SQL, with cross-functional collaboration across Finance, IT, and Data Science teams.

Qualifications

  • 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.

Responsibilities

  • 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.

Education

Bachelor's degree in Finance or Computer Science

Tools

Excel
Python
SQL
Power BI
AI Tools
Power Query
Data Visualization

Job description

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).

About Us

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.

The Program:

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!

Work Description:
  • 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.
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.
Education and Experience Required:
  • 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

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
Expected Internship Deliverables

By the end of the internship, the intern is expected to:

  • 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.

The pay range for this position is $23 to $26 per hour (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

Health insurance

Dental insurance

Vision insurance

Long term/short term disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off policies, including;

4-12 weeks fully paid parental leave based on tenure

13 paid holidays

15 days paid time off (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Explore HP

#LI-POST

Job -

Administration

Schedule -

Full time

Shift -

No shift premium (United States of America)

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.

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