In this role, you will have the opportunity to apply foundational data science techniques to analyze large datasets across functional domains, identify trends and anomalies, and help extract insights that support informed audit decision-making. You will collaborate with cross-functional teams to support the development and execution of data-driven audit procedures. You will assist in building repeatable analytics, dashboards, and automated solutions that contribute to the ongoing enhancement of internal controls, risk mitigation efforts, and operational efficiency within the Corporate Audit program.

KEY RESPONSIBILITIES

• Apply data science techniques to analyze large datasets and identify patterns

• Conduct thorough and accurate data analysis to identify patterns and trends within complex datasets

• Perform data extraction, cleansing, validation, and analysis to support internal audit planning, execution, and reporting activities

• Develop and implement data-driven audit strategies within the Corporate Audit program

• Collaborate with cross-functional teams to drive operational efficiency and risk identification

• Leverage statistical models and machine learning algorithms to extract insights

• Provide guidance and recommendations to management based on data analysis

• Assist in developing and maintaining standardized audit analytics, reports, and dashboards to improve audit efficiency and consistency

• Attention to detail and strong organizational skills

 WE VALUE

• Master's degree in Data Science, Statistics, or a related field

• PowerBI, Azure AI Studio, Databricks, and Snowflake tool experience

• Experience in audit or risk management

• Knowledge of internal control frameworks and risk assessment methodologies

• Strong understanding of business processes and operations

• Ability to work independently and manage multiple projects

REQUIRED SKILS

• Minimum of 3-5 year of experience in data science or related field

• Bachelors degree in Data Science, Statistics, or a related field

• Basic knowledge of data science techniques and tools

• Experience in applying statistical models and machine learning algorithms

• Excellent analytical and problem-solving skills

• Strong communication and presentation skills