Note: The job is a remote job and is open to candidates in USA. Wella Company is a global beauty company seeking a Data Intelligence Intern to support its Internal Audit team. The intern will analyze enterprise transactional data, build dashboards, support predictive risk scoring, prototype AI-assisted audit workflows, document analyses, and communicate findings to auditors.
Responsibilities
- Extract, clean, and analyze large transactional datasets (e.g., sales, procurement, GL, and change-log data) to identify anomalies, trends, and control exceptions
- Build dashboards and visualizations (Excel, Power BI, Python, or similar) that help auditors quickly spot outliers across full populations rather than small samples
- Support the design and testing of predictive/risk-scoring models that help prioritize which processes, sites, or transactions warrant deeper audit attention
- Assist in developing and testing AI-assisted audit workflows — for example, using large language models or retrieval-based tools to synthesize risk signals from multiple data sources into draft audit plans
- Help document data sources, logic, and assumptions behind analyses so they hold up as audit evidence (accuracy, completeness, and traceability matter here — not just a clean-looking chart)
- Partner with auditors to translate business questions ("are we seeing unusual credit block override patterns?") into structured data queries and defensible findings
- Present findings to the audit team in a clear, non-technical way
Skills
- Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Accounting, Finance, MIS, or a related field
- Comfortable working with data in 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
- Coursework or project experience in data science, machine learning, or predictive analytics
- Familiarity with SAP, ERP systems, or enterprise data structures
- Exposure to Power BI, Tableau, or similar visualization tools
- Interest in accounting, audit, risk management, or corporate governance
- Familiarity with AI/LLM tools and how they're applied to structured business data
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