Description
This 12-week paid summer internship is designed to let you apply your classroom learnings to real-world challenges. As a Finance Data Science Intern, you will support finance transformation and process improvement initiatives by leveraging data science, AI, and automation techniques to enhance reporting, analytics, and decision-making capabilities.
Responsibilities:
- 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.
- 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.
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:
- 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.