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Digital Audit Advanced Analytics Senior Associate
  • United Kingdom - Manchester -
1 year ago
Auditor
Full Time
Job Description

As a Senior Associate in Digital Audit, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution.

Responsibilities include but are not limited to:

  • Using feedback and reflection to develop self-awareness, personal strengths and address development areas.
  • Delegating to others to provide stretch opportunities and coaching to help deliver results.
  • Developing new ideas and proposing innovative solutions to problems
  • Using a broad range of tools and techniques to extract insights from current trends in the business area.
  • Reviewing your work and that of others for quality, accuracy and relevance
  • Sharing relevant thought leadership.
  • Using straightforward communication, in a structured way, when influencing others.
  • Ability to read situations and modify behavior to build quality, diverse relationships.
  • Upholding the firm's code of ethics and business conduct.
  • Advising senior stakeholders on ways to automate and reimagine audits, implementing innovative technologies, such as Python, R, SQL, Alteryx, Power BI, Process Intelligence and Machine Learning.
  • Work on technical assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualization tools to provide clients with the PwC digital audit experience.

Required Knowledge, Skills, and Abilities
Data transformation and modelling (e.g. pandas and scikit-learn in Python). Data storage and querying (e.g. SQL, Alteryx, Python). Data visualization experience (e.g. PowerBI, Tableau). Understanding of common data quality issues and they effect they have on machine learning models. Data cleansing and manipulation for machine learning (e.g. feature engineering). Robotics experience e.g. UI Path. Experience and be able to demonstrate finance/accounting understanding. Experience with financial / general ledger data. Knowledge of the current data science software platforms.

Reference no: 16370

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