Data Analytics Intern - AI-Driven Internal Audit

Wella Operations US LLC; Northern (KY); On-site; USD 28,000 - 34,000; Part time

Job summary

Wella Company is seeking a college intern to join Internal Audit, focusing on data analytics and AI-enabled risk assessment. You will work with transactional data from SAP and other systems to shape audit coverage and prototype AI/automation approaches.

Ideal candidates are curious about why data behaves as it does, have basic SQL/Python or R exposure, and can explain findings in plain language. This is a hands-on internship with real responsibilities, not shadowing auditors.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in data science, statistics, computer science, accounting, finance, MIS, or related field.
• Comfortable with Excel at an intermediate-to-advanced level (pivot tables, lookups, basic modeling).
• Some exposure to a query or scripting language (SQL, Python, or R) through coursework or projects.

Responsibilities

• Extract, clean, and analyze large transactional datasets to identify anomalies, trends, and control exceptions.
• Build dashboards and visualizations (Excel, Power BI, Python, or similar) for full-population insights.
• Support design and testing of predictive/risk-scoring models to prioritize processes, sites, or transactions for audit.
• Assist in developing and testing AI-assisted audit workflows, including using LLMs or retrieval-based tools.
• Document data sources, logic, and assumptions to ensure audit evidence quality.

Skills

Data analysis

Excel (pivot tables, lookups)

SQL / Python / R

Education

Bachelor's or Master's in Data Science or related field

Tools

SAP

Power BI

Tableau

Job description

Wella Company is seeking a college intern to join Internal Audit, focusing on data analytics and AI-enabled risk assessment. You will work with transactional data from SAP and other systems to shape audit coverage and prototype AI/automation approaches.

Ideal candidates are curious about why data behaves as it does, have basic SQL/Python or R exposure, and can explain findings in plain language. This is a hands-on internship with real responsibilities, not shadowing auditors.