At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. In business transformation digital solutions at PwC, you will assist clients with business transformations leveraging large scale digital solutions such as SAP, Oracle, OneStream, Workday, Identity and Access Management tools and other business applications. You will utilise innovative solutions to help clients assess and manage risk and controls during their transformation journey. Working in this area, you will assess the client’s approach for ERP security, business process and IT General Controls, while educating our clients on leading practice recommendations. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Minimum Degree(s) B.Tech/BE/M.Tech/ME (preferably computer science), Bachelors or Master’s Degree in Computer Science, Data Analytics or Accounting/Commerce with minimum 7 years of relevant experience. Candidates with “Big 4” or equivalent experience would be preferred. Preferred Skill Set/Professional Experience Essential Skills Strong market credentials in data & analytics working with large organisations and an ability to demonstrate knowledge and insight in data management, data cleansing and data analytics within the audit process Strong stakeholder management and interpersonal skills, including communication with senior stakeholders of a non-data background (being able to communicate technical issues in simple business terms) and excellent reporting writing skills Experience in managing projects, including developing project plans, budgets and deliverables schedules Experience of the full engagement delivery lifecycle including risk management Proven analytical and problem solving capabilities on complex engagements Potential and ambition to develop a long-term career in PwC Desirable Skills Basic finance process knowledge (Order to Cash, Financial Services etc) and how ERPs manage and structure the data Audit experience, and experience of applying data analytics within the external audit process Use of technology in data & analytics including for use in providing managed services Experience working with financial services institutions OR commercial sector experience (retail, manufacturing, transport, logistics, FMCG, pharmaceutical, etc.) and a desire to specialise in one of these two areas Experience working in financial reporting, financial accounting, regulatory compliance, or internal audit Technical Skills Data transformation and modelling (e.g. pandas and scikit‑learn in Python) Data storage and querying (e.g. SQL, Alteryx, Python) Data visualisation experience (eg PowerBI) Understanding of common data quality issues and the effect they have on machine learning models Data cleansing and manipulation for machine learning (e.g. feature engineering) Experience and be able to demonstrate finance/accounting understanding Experience with financial / general ledger data Knowledge of the current data science software platforms #J-18808-Ljbffr