Senior Data Science Analyst; Audit

Requirements

• 2-3 years' experience delivering data science and analytics to support audits. Alternatively, experience using data science and analytics in a non-audit role with have a proven grasp of internal audit or risk management
• Ability to understand business processes, risks and controls, dealing with ambiguity to ensure you deliver assurance and insights that make a difference
• Proficiency in SQL and Python, with experience using both in a work context
• Knowledge of database and data warehouse concepts, analytics and core data science techniques
• Knowledge of visualisation techniques
• Experience presenting technical topics and complex analysis to a non-technical audience
• (Desirable) Experience with machine learning, Generative AI and Google Cloud Platform (GCP) is desirable
• (Desirable) Experience with Power BI is desirable
• We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply

• Apply advanced analytics and data science techniques to evaluate the effectiveness of the Group’s control environment, providing assurance and identifying deficiencies
• Partnering with other audit colleagues to assess risks and test controls, producing robust, defensible analyses, and help auditors to interpret your results
• Seek out opportunities to use innovative data science techniques, such as Generative AI and Machine Learning, helping to identify new use cases and enhancing the way we audit
• Establish relationships with our internal audit teams to facilitate the delivery of data science and analytics, whilst learning about the Group’s businesses, risks and controls
• Promote the use of data science and analytics in audit, upskill audit colleagues in data analytics, and contribute to department-wide presentations
• Identify opportunities for innovation, contribute to data science and analytics development projects, and help the function to be more data and AI driven
• Develop your knowledge of the Group’s strategy, products & markets and be responsible for your own professional development